Course description

Who Should attend & Course Pedagogy

  • Person from any domain who are keen on learning Data Science for professional development.
  • Software developers/ IT Professionals who are willing to move into Data Science.
  • Professors from Institutes who are willing to upgrade their skills into Data Science.
  • Middle and senior level executives from profit and not-for-profit organization across industries/sectors can attend the program.

Eligibility

  • Any Graduate with Min 60% and Above  marks
  • No Experience is Mandatory
  • No Programming Background Required

Selection Process

  • Aptitude  Test
  • Personal Interview with Academic Expert
  • Admission Letter & Enrollment

Assignments, Videos & Case Studies

Curated Course Syllabus

Module 1: SQL

    • Introduction to Data Warehouse
      • What is data warehouse
      • Data warehouse architecture
      • Top down approach
      • Bottom up approach
      • Data lake architecture
      • Data lake and warehouse architecture
      • Data lake vs. Data warehouse
      • OLTP vs. OLAP
    • Facts and Dimensions
      • Additive Fact
      • Factless Fact
      • Non Additive Fact
      • Semi Additive Fact
      • Role playing dimension
      • Junk dimension
      • Degenerate Dimension
      • Conformed Dimension
      • Slowly Changing Dimension
    • Normal Forms
      • Normal Forms 1NF
      • Normal Forms 2NF
      • Normal Forms 3NF
      • Normal Forms 4NF
    • Introduction to Constraints - Part 1
      • Naming Rules
      • Data Types
      • Default Constraint
      • Primary Key Constraints
      • Foreign Key Constraints
    • Introduction to Constraints - Part 2
      • Not Null Constraint
      • Unique Constraint
    • Types of SQL Commands
      • Data Definition Language
      • Data Query Language
      • Data Manipulation Language
      • Data Control Language
      • Transaction Control Language
    • Operators and Clauses
      • Concatenation
      • Where Clause
      • Like Clause
      • Between and
      • Is null
      • Order by
    • Single Row Function - Part 1
      • Character
      • Number
      • Date
    • Single Row Function - Part 2
      • Conversion
      • General Functions
      • NVL
      • NVL2
      • COALESCE
      • Case When
      • Decode
    • Multi Row Function
      • Avg
      • Count
      • Min
      • Max
      • Stddev
      • Sum
      • Variance
    • Joins in SQL - Part 1
      • Different types of joins
      • Inner
      • Left Outer Join
      • Right Outer Join
      • Full Outer Join
    • Joins in SQL - Part 2
      • Self-Join
      • Non Equi Join
      • Cross Joins
    • Joins in SQL - Part 3
      • Self-Join
    • Single Row SubQuery
      • Detailed understanding of single row subquery
    • Multiple Rows SubQuery
      • Detailed understanding of multiple row subquery
      • In clause
      • Any Clause
      • All Clause
    • Multiple Column Sub Queries
      • Non Pairwise
      • Pairwise
      • Correlated Sub Queries
    • Exists and With Clauses
      • Detail understanding of Exists and With Clauses
    • Set Operators in SQL
      • Union
      • Union All
      • Intersection
      • Minus
    • Data Manipulation
      • Insert Statements
      • Update Statements
      • Delete Statements
      • Truncate
    • Views in SQL
      • Simple and Complex views
      • Update through views
    • Sequences, Synonyms and Index
      • Sequences and its uses
      • Synonyms and its uses
      • Index and its benefits and Drawbacks
    • Alter Statements in SQL
      • How to add the constraints
      • Alter statements
      • System tables
    • Multi Table Inserts
      • Unconditional Inserts
      • Conditional Inserts
      • Condition First Insert
      • Pivoting Insert
    • Merge in SQL
      • Update using Merge
      • Insert using Merge
    • Hierarchical Data Fetching
      • Connect by Prior
    • Regular Expressions
      • REGEXP_LIKE
      • REGEXP_INSTR
      • REGEXP_SUBSTR
      • REGEXP_REPLACE
      • REGEXP_COUNT
    • Analytics Functions - Part 1
      • Row Number
      • Rank
      • Dense Rank
    • Analytics Functions - Part 2
      • Row Number
      • Rank
      • Dense Rank
    • Materialized Views
      • Importance of Materialized Views
      • Complete on Demand
      • Complete on Commit
      • Fast on Demand
      • Explain Plan
    • SQL Interview Prep - Advanced Select
      • Understanding of advanced Select
    • SQL Interview Prep U+2013 Joins
      • Understanding of Joins and advanced joins

Module 2: Python

  • Basics of Python (Python History and Features)
    • Python History and Features
  • Basics of Python (Data Types Part 1)
    • Data Types in Python
    • Integer
    • Float
    • String
    • Boolean
    • Complex Numbers
  • Basics of Python (Data Types Part 2)
    • Memory Allocation in Python
    • Lists
    • Tuples
    • Range
    • Sets
    • Frozen sets
    • Dictionaries
  • Basics of Python (Lists in Python)
  • Detailed explanation of Lists and its functions
  • Basics of Python (Tuples, Dictionaries and Sets)
  • Detailed explanation of Tuples, Dictionaries and Sets
    • Operators in Python - Part 1
    • Arithmetic Operators
    • Relational Operators
    • Equality Operators
    • Logical Operators
    • Ternary Operators
    • Operators in Python - Part 2
    • Bitwise Operators
    • Compound Assignment Operators
    • Special Operators
    • Identity Operators
    • Membership Operators
    • Precedence in Python
    • Math Modules
  • Input ways in Python
  • Input statement
    • Eval
    • Command Line Arguments
    • Output ways in Python
    • Print and its formats
  • Flow Control - Part 1
    • if, elif and else
    • for loops
  • Flow Control - Part 2
    • for loops
    • while loops
    • break
    • continue
    • pass
  • String Operations in Python
    • Various string related functions and its applications
  • String Operations in Python - More Examples
    • More examples on String operations
  • Functions in Python - Part 1
    • Functions and its benefits
    • Types of arguments
    • Positional arguments
    • Keyword arguments
    • Default arguments
    • Variable length arguments
  • Functions in Python - Part 2
    • Types of variables
    • Recursive functions
    • Lambda functions
    • filter
  • Functions in Python - Part 3
    • map
    • reduce
    • Memory allocation in functions – Function
    • Aliasing
    • Nested functions
  • Exception Handling - Part 1
    • Exception Handling and its various scenarios
  • Exception Handling - Part 2
    • Various syntaxes of exception handling
  • Exception Handling – Example
    • Custom exception handling example
  • File Handling - Part 1
    • Modes to open the files
    • Various properties of file object
    • How to write and read data from files With statement
    • seek and tell commands
  • File Handling - Part 2
    • seek and tell commands
    • os module and its functions
  • Binary files
    • Write data in csv files
    • How to handle the files and folders in Python using os modules
    • pickling and unpickling
  • Regular Expressions - Part 1
    • re module in Python and its functions
    • re module in Python and its functions
    • Object Oriented Programming - Part 1
  • Introduction to OOPs
    • Constructor in OOPs
  • Object Oriented Programming - Part 2
    • Self
    • Instance variables
    • Static variables
  • Object Oriented Programming - Part 3
    • Static variables
    • Local variables
  • Object Oriented Programming - Part 5
    • Passing members from one class to another class
    • Inner classes
  • Object Oriented Programming - Part 6
    • Garbage Collector
    • Desctructor
  • Object Oriented Programming - Part 7
    • Inheritance
    • Single Inheritance
    • Multilevel Inheritance
    • Hierarchical Inheritance
    • Multiple Inheritance
  • Object Oriented Programming - Part 8
    • Composition and Aggregation
    • Hybrid Inheritance
  • Object Oriented Programming - Part 9
    • super in OOPs
  • Object Oriented Programming - Part 10
    • Polymorphism in OOPs
  • Object Oriented Programming - Part 11
    • Method Overloading
    • Constructor Overloading
    • Method Overriding
  • Numpy - Part 1
    • Understanding of Numpy and its various functions
    • Understanding of arrays and Matrix
  • Numpy - Part 2
    • Discussion on various Numpy functions
  • Numpy - Part 3
    • Discussion on various Numpy functions
  • Pandas - Part 1
    • Pandas - An introduction
    • Understanding of Data Frames
    • Joins between Data Frames
    • Concat
  • Pandas - Part 2
    • Slicing and playing with the csv file and understand various functions on pandas
  • Pandas - Part 3
    • Understanding of various functions in Pandas
  • Pandas - Part 4
    • Understanding of various functions in Pandas
  • Pandas - Part 5
    • Understanding of various functions in Pandas
  • dfply understanding
    • Detailed understanding of dfply
  • Data Visualization of Matplotlib
    • Creating various plots using Matplotlib
  • Data Visualization of Seaborn
    • Creating various plots using Seaborn
  • Data Preprocessing using SKLearn- Missing Value Imputation
    • Traditional methods of imputation using mean, median and mode KNN Imputation
  • Data Preprocessing using SKLearn - Outlier Treatment
    • Outlier Treatment
  • Data Preprocessing using SKLearn - Feature Scaling - Theory
    • Standardization
    • MinMax Scalar
    • Robust Scaler
    • MaxAbs Scalar
    • Power Transformer
    • Quantile Transformer
    • Normalization
  • Data Preprocessing using SKLearn - Feature Scaling – Handson
    • Hands on of all the techniques using Python
  • Python connection with Oracle - Part 1
    • Create and Insert using Python
  • Python connection with Oracle - Part 2
    • Alter statement, Reading Data from csv and upload in Oracle
  • Exploratory Data Analysis - Part 1
    • End to end understanding of how to explore the data before applying Machine Learning
  • Exploratory Data Analysis - Part 2
    • End to end understanding of how to explore the data before applying Machine Learning

Module 3: Tableau

  • Tableau - An introduction
    • Understanding Tableau and its products
    • Tableau Public
    • Tableau Desktop
    • Tableau Reader
    • Tableau Online
    • Tableau Server
    • Tableau Prep
    • Tableau Mobile
  • Tableau - Creating first chart
    • Understanding the Calculated Field concept
    • If and Else statements
    • Left Function
    • Making data ready for visualization using Tableau Prep
  • Tableau - Mode of connection
    • Understanding the concept of Live and Extract connections
    • Data Source filters
    • Union and its usage
  • Tableau - Data from Heterogeneous data sources
    • Dive deep into the concept of Joins and how can we achieve in Tableau
    • Applying the data joining using Tableau Prep
    • Dive deep into the concept of Cross database joins
    • Applying Cross database joins using Tableau Prep
    • Understanding of Data Blending
    • Understanding the concept of Primary and Secondary data sources
  • Tableau - Data Blending in Tableau
    • Dive Deep into Data Blending
    • Understanding the usage of Data Joining, Cross Database Join and Data Blending
    • Solving the end-to-end problem using Data Blending
  • Tableau - Bins, Parameters and creating our first dashboard
    • Creating the map view and understanding the idea of maps
    • Creating the histogram and dynamic histogram using parameters
    • Creating Donut chart
    • Creating the stackbar chart
    • Creating the interactive dashboard
  • Tableau - Dashboard and Story
    • Difference between Tiled and Floating options
    • Adding the buttons to download the dashboard as ppt, image and pdf
    • Creating the story
    • Understanding the difference between Dashboard and Story
  • Tableau - Time series analysis
    • Understanding the concepts of Data dimension
    • Difference between Discrete and continuous date field
    • What is the relation between aggregation and Granularity?
    • How to apply normal filters or Quick Filters
    • Options in the Normal Filters or Quick Filters
    • Understanding on Context Filters
  • Tableau - Sets and Parameters for more dynamic visualization
    • Create a dynamic scatter plot using the concepts of Sets and Parameters
    • Understanding the concept of sets
    • Understanding the concept of Static Sets
    • Understanding the concept of Dynamic Sets
    • How to tag parameters with sets to make it dynamic sets
    • How to tag parameters with reference lines
  • Tableau - Combined Sets and Formatting of the visuals
    • Understanding the concept of Combined sets
    • Formatting the visuals
    • Adding sets as filters
  • Tableau - Animation in Tableau - Data Prep
    • Formatting the data as per the requirement using Tableau Prep
    • Formatting the data as per the requirement using Tableau Desktop
    • Advantage and Disadvantage of using Tableau Desktop as data preparation tool
  • Tableau - Animation in Tableau - Visualization
    • Creating the animated scatter plot using Animation concept
    • How to animate the chart using page shelf
    • Which data to choose as Primary data source
    • Formatting the plot
    • Sorting the secondary data source
    • Adding show history option in the animation
  • Tableau - Level of Details (Include)
    • Understanding the concept of Include Function
    • Creating the visual using Include function in Tableau
  • Tableau - Level of Details (Include and Exclude)
    • Implementing the include function on the real time use case
    • Creating the visual using Include function in Tableau
    • Understanding the concept of Exclude and where to use it
    • Implementing the exclude function on the real time use case
    • Creating the visual using exclude function in Tableau
  • Tableau - Level of Details (Fixed)
    • Understanding the concept of Fixed and where to use it
    • Implementing the Fixed function on the real time use case
    • Creating the visual using Fixed function in Tableau
  • Tableau - Level of Details (Real time use cases)
    • Customer Order Frequency
    • Cohort Analysis
    • Daily Profit KPI
    • Percentage of Total
    • New Customer Acquisition
    • Average of top deals by city
    • Actual vs. Target
    • Value on the last day of the period
    • Return Purchase by cohort
    • Percentage difference from average across a range
    • Relative Period Filtering
    • User login frequency
    • Proportional Brushing
    • Annual Purchase frequency by customer cohort
    • Comparative sales analysis
  • Tableau - Table Calculation - Data Prep Part 1
    • Preparing the data using Tableau Prep
    • Understanding the datetime dimension and its purpose
  • Tableau - Table Calculation - Data Prep Part 2
    • Preparing the data using Tableau Desktop
    • Pivoting using Tableau Prep
    • Pivoting using Tableau Desktop
  • Tableau - Table Calculation - Functions Part 1
    • Running Sum
    • Difference
    • Percentage Difference
    • Understanding Table Across, Table Down
    • Fixing the calculation by dimension
    • Understanding the difference between Table calculation and Calculated Field
    • Dive deep on the functions Lookup, ZN
  • Tableau - Table Calculation - Functions Part 2
    • Moving Average
  • Creating the logic for Quality assurance in the output

Module 4: Statistics

  • Statistics - An Introduction
    • Types of Data
    • Analyzing Categorical Data
    • Reading Pictographs
    • Reading Bar Graphs
    • Reading Pie Chart
    • Two way Frequency Table and Venn Diagram
    • Marginal and Conditional Distribution
    • Displaying Quantitive data with Graphs
    • Frequency Table and Dot plots
    • Creating Histogram
  • Measure of Central Tendency
    • Mean
    • Median
    • Mode
  • Measure of Spread - Part 1
    • Range
    • Variance
    • Standard Deviation
    • Interquartile Range
  • Measure of Spread - Part 2
    • Population
    • Sample
    • Difference in formula for Population parameter and
    • Sample statistic
    • Box and Whisker Plot
    • Left Skewed and Right Skewed
    • Outlier detection
    • Mean Absolute Deviation
  • Regression - Part 1
    • Exploring bivariate numerical data
    • Slope of a line
    • Intercept
  • Regression - Part 2.1
    • Covariance
    • Covariance Matrix
  • Regression - Part 2.2
    • Karl Pearson Correlation Coefficient
  • Regression - Part 2.3
    • Spearman Rank Correlation Coefficient
    • Various scenarios
  • Regression - Part 3
    • Residuals
  • Regression - Part 4
    • R-Squared and RMSE
  • Normal Distribution - Part 1
    • Understanding Normal Distribution
    • Z-Score concept
    • Emperical Rule
    • Density Curve
  • Normal Distribution - Part 2
    • More Examples in Z-score and Z-table
  • Normal Distribution - Part 3
    • More Examples in Z-score and Z-table
    • Exploring Gaussian distribution equation
  • Symmetric Distribution, Skewness, Kurtosis and KDE
    • Symmetric distribution
    • Skewness
    • Kurtosis
    • KDE
  • Probability - An Introduction
    • Simple Probability
    • Probability - With Counting Outcome
    • Sample space and its subset
    • Intersection and Union of sets
    • Relative complement or Difference between sets
    • Universal Set and Absolute complement
    • Subset, Strict, Subset and Superset
    • Set operations together
    • Difference between theoretical and experimental probability
  • Probability - Part 2
    • Statistical Significance of experiment
    • Probability with venn diagram
    • Addition rule of probability
    • Sample space for compound space
    • Compound probability of independent events
    • Independent events
  • Probability - Part 3.1
    • Dependent Probability
    • Conditional Probability
  • Probability - Part 3.2
    • Conditional Probability - Tree Diagram
    • Conditional Probability and Independence
  • Permutations and Combinations
    • Permutation Formula
    • Understanding of Zero factorial
    • Factorial and Counting
    • Combinations
  • Combinatorics and Probability
    • Probability using combinations
    • General form
  • Random Variables
    • Continuous and Discrete and its distribution
    • Mean (Expected value) of a discrete random variable
    • Variance and Standard deviation
  • Random Variables Variance
    • Intuition for why independence matters for variance of sum
    • Analyzing distribution of sum of two normally distributed random variables
    • Analyzing distribution of sum of two normally distributed random variables
  • Binomial Distribution - Part 1
    • Binomial Variables
    • Recognizing Binomial variables
    • 10% Rule of assuming independence
    • Binomial Distribution
  • Binomial Distribution - Part 2
    • Binomial Probability
    • Binompdf and Binomcdf functions
    • Mean and variance of Bernoulli distribution
    • Expected value and variance of Binomial distribution
  • Geometric Random Variables - Part 1
    • Geometric random variables – Introduction
    • Probability of a geometric random variable
    • Cumulative geometric probability
  • Geometric Random Variables - Part 2
    • Cumulative geometric probability
    • Proof of expected value of geometric random variables
  • Poisson Distribution
    • Detailed understanding of Poisson Distribution
  • Sampling Distribution
    • Sampling Distributions
    • Sampling distribution of sample proportion
    • Normal conditions for sampling distributions of sample proportions
    • Probability of sample proportions
  • Central Limit Theorem
    • Inferring population mean from sample mean
    • Central Limit Theorem
    • Standard Error of the mean
  • Confidence Interval
    • Confidence intervals and margin of error
    • Interpretation of Confidence interval
  • Margin of error
    • Margin of Error
    • Condition for valid confidence interval for a proportion
  • T-statistic
    • Introduction to T-Statistics
    • Conditions for valid t intervals
    • Find critical t value
    • Confidence interval for a mean with paired data
    • Sample size for a given margin of error for a mean
    • T-statistic confidence interval
    • Small sample size confidence intervals
  • Significance Tests - An Introduction
    • Simple Hypothesis Testing
    • Idea Behind Hypothesis Testing
    • null and alternative hypothesis
    • P-values and significance tests
  • Type 1 and Type 2 Erros
    • Comparing P-values to different significance levels
    • Estimating a P-value from a simulation
    • Type 1 and Type 2 Errors
    • Introduction to Power in significance tests
    • Power in significance test
  • Constructing Hypothesis for a significance test about a proportion
    • Constructing hypothesis for a significance test about a proportion 
    • Conditions for a z test about a proportion
    • Calculating a z statistic in a test about a proportion
    • Calculating a P-value given a z statistic
    • Making conclusions in a test about a proportion
  • Constructing Hypothesis for a signficance test about a mean
    • Writing Hypothesis for a significance test about a mean
    • Condition for a t test about a mean
    • When to use z or t statistics in significance tests
    • Calculating t statistic for a test about a mean
    • Calculate p-value from t statistic
    • Comparing P-value from t statistic to significance level
    • Significance Test for Mean
  • More on Significance Testing
    • Hypothesis testing and p-values
    • Small sample hypothesis test
    • Large Sample proportion hypothesis testing
  • Comparing two proportions
    • Detailed understanding of Comparing Two Proportions
  • Comparing two means
    • Statistical Significance of experiment
    • Difference of Sample mean distribution
    • Confidence interval of difference of means
  • Introduction to Chi Squared Distribution
    • Chi-Square distribution introduction 
    • Pearson's Chi-Square test (Goodness of fit)
    • Chi-Square statistic for Hypothesis testing
    • Chi-square goodness of fit example
    • Filling out frequency table for independent events
  • Chi Square Test for Homogeneity and Association
    • Contingency table chi-square test 
    • Chi-Squared test for Homogeneity
    • Chi-Squared test for association (Independence)
  • Advanced Regression
    • Introduction to inference about slope in linear regression
    • Conditions for Inference on slope
    • Confidence interval for the slope of a regression line
    • Calculating t statistic for slope of regression line
    • Using a P-value to make conclusions in a test about slope
    • Using a confidence interval to test slope
  • Anova and Fstatistic
    • Anova – Calculating SST, SSW and SSB
    • Hypothesis testing with F-statistic

Module 5: Machine Learning

  • Supervised Machine Learning - Classification and Regression - KNN
    • How “ Classification” and “Regression”works?
    • Data matrixnotation.
    • Classification vs Regression(examples)
    • K-Nearest Neighbors Geometric intuition with a toy example.
    • Failure cases of K-NN
    • Distance measures: Euclidean(L2),Manhattan(L1),Minkowski, Hamming
    • Cosine Distance & Cosine Similarity
    • How to measure the effectiveness of K-NN?
    • Test/Evaluation time and space complexity.
    • k-NN Limitations.
    • Decision surface for K-NN as K changes.
    • Overfitting and Underfitting.
    • Need for Cross validation.
    • K-fold cross validation.
    • Visualizing train, validation and test data sets
    • How to determine overfitting and underfitting?
    • Time based splitting
    • k-NN for regression.
    • Weighted k-NN
    • Voronoi diagram.
    • Binary search tree
    • How to build akd-tree.
    • Find nearest neighbors using kd-tree
    • Limitations of kd-tree
    • Extensions.
    • Hashing vs LSH.
    • LSH for cosine similarity
    • LSH for euclidean distance.
    • Probabilistic class label
    • Code Sample: Decision boundary.
    • Code Samples: Cross-Validation
  • Classification algorithms in various situations
    • Introduction
    • Imbalanced vs balanced data set.
    • Multi-class classification.
    • k-NN, given a distance or similarity matrix
    • Train and test set differences.
    • Impact of Outliers
    • Local Outlier Factor(Simple solution: mean distance to k-NN).
    • k-distance (A),N(A)
    • reachability-distance(A,B)
    • Local-reachability-density(A)
    • Local Outlier Factor(A)
    • Impact of Scale & Column standardization.
    • Interpretability
    • Feature importance & Forward Feature Selection
    • Handling categorical and numerical features.
    • Handling missing values by imputation.
    • Curse of dimensionality.
    • Bias-Variance tradeoff.
    • Intuitive understanding of bias-variance.
    • Revision Questions.
    • Best and worst case of an algorithm
  • Performance measurement of models
    • Accuracy
    • Confusion matrix, TPR, FPR, FNR,TNR
    • Precision & recall,F1-score.
    • Receiver Operating Characteristic Curve (ROC) curve and AUC.
    • Log-loss.
    • R-Squared/ Coefficient of determination.
    • Median absolute deviation(MAD)
    • Distribution of errors.
  • Supervised Machine Learning - Classification - Naive Bayes
    • Conditional probability.
    • Independent vs Mutually exclusive events.
    • Bayes Theorem with examples.
    • Exercise problems on Bayes Theorem
    • Naive Bayes algorithm.
    • Toy example: Train and test stages.
    • Naive Bayes on Text data.
    • Laplace/Additive Smoothing.
    • Log-probabilities for numerical stability.
    • Bias and Variance tradeoff.
    • Feature importance and interpretability.
    • Imbalanced data
    • Outliers.
    • Missing values.
    • Handling Numerical features (Gaussian NB)
    • Multiclass classification.
    • Similarity or Distance matrix.
    • Large dimensionality.
    • Best and worst cases.
  • Supervised Machine Learning - Classification - Logistic Regression
    • Geometric intuition of logistic regression
    • Sigmoid function: Squashing
    • Mathematical formulation of objective function.
    • Weight Vector.
    • L2 Regularization: Overfitting and Underfitting.
    • L1 regularization and sparsity.
    • Probabilistic Interpretation: Gaussian Naive Bayes
    • Loss minimization interpretation
    • Hyperparameter search: Grid Search and Random Search
    • Column Standardization.
    • Feature importance and model interpretability.
    • Collinearity of features.
    • Train & Run time space and time complexity.
    • Real world cases.
    • Non-linearly separable data & feature engineering.
    • Code sample: Logistic regression, Grid Search CV, Random Search CV
    • Extensions to Logistic Regression: Generalized linear models(GLM)
  • Supervised Machine Learning - Regression - Linear Regression
    • Geometric intuition of Linear Regression.
    • Mathematical formulation.
    • Real world Cases.
    • Code sample for Linear Regression
  • Solving Optimization Problems
    • Differentiation.
    • Online differentiation tools
    • Maxima and Minima
    • Vector calculus: Grad
    • Gradient descent: geometric intuition.
    • Learning rate.
    • Gradient descent for linear regression.
    • SGD algorithm
    • Constrained optimization &PCA
    • Logistic regression formulation revisited.
    • Why L1 regularization creates sparsity?
  • Supervised Machine Learning - Classification and Regression - Support Vector Machines (SVM)
    • Geometric intuition.
    • Mathematical derivation.
    • why we take values +1 and -1 for support vector planes
    • Loss function (Hinge Loss) based interpretation.
    • Dual form of SVM formulation.
    • Kernel trick.
    • Polynomial kernel.
    • RBF-Kernel.
    • Domain specific Kernels.
    • Train and run time complexities.
    • nu-SVM: control errors and support vectors.
    • SVM Regression.
    • Cases.
  • Supervised Machine Learning - Classification and Regression - Decision Trees
    • Geometric Intuition of decision tree: Axis parallel hyperplanes.
    • Sample Decision tree.
    • Building a decision Tree: Entropy(Intuition behind entropy)
    • Building a decision Tree: Information Gain
    • Building a decision Tree: Gini Impurity.
    • Building a decision Tree: Constructing a DT.
    • Building a decision Tree: Splitting numerical features.
    • Feature standardization.
    • Categorical features with many possible values.
    • Overfitting and Underfitting.
    • Train and Run time complexity.
    • Regression using Decision Trees.
    • Cases
    • Supervised Machine Learning - Classification and Regression - Ensemble Models
    • What are ensembles?
    • Bootstrapped Aggregation (Bagging)Intuition.
    • Random Forest and their construction.
    • Bias-Variance tradeoff.
    • Train and Run-time Complexity.
    • Bagging: code Sample.
    • Extremely randomized trees.
    • Random Forest: Cases.
    • Boosting Intuition
    • Residuals, Loss functions, and gradients.
    • Gradient Boosting
    • Regularization by Shrinkage.
    • Train and Run time complexity.
    • XG Boost: Boosting +Randomization
    • Ada Boost: geometric intuition.
    • Stacking models.
    • Cascading classifiers.
  • Unsupervised learning - Clustering – K means
    • What is Clustering?
    • Unsupervised learning
    • Applications.
    • Metrics for Clustering.
    • K-Means: Geometric intuition, Centroids.
    • K-Means: Mathematical formulation: Objective function
    • K-Means Algorithm.
    • How to initialize: K-Means++
    • Failure cases/Limitations.
    • K-Medoids
    • Determining the right K.
    • Code Samples.
    • Time and Space complexity
  • Unsupervised learning - Clustering - Hierarchical clustering Technique
    • Agglomerative & Divisive, Dendrograms
    • Agglomerative Clustering.
    • Proximity methods: Advantages and Limitations.
    • Time and Space Complexity.
    • Limitations of Hierarchical Clustering.
    • Code sample.
  • Unsupervised learning - Clustering - DBSCAN (Density based clustering)
    • Density based clustering
    • MinPts and Eps:Density
    • Core, Border and Noise points.
    • Density edge and Density connected points.
    • DBSCAN Algorithm.
    • Hyper Parameters: MinPts and Eps.
    • Advantages and Limitations of DBSCAN.
    • Time and Space Complexity.
  • Association Rule Mining (Apriori)
    • Understanding of Support
    • Understanding of Confidence
    • Understanding of Lift
    • Time and Space complexity 
  • Recommender Systems and Matrix Factorization
    • Problem formulation: Movie reviews.
    • Content based vs Collaborative Filtering.
    • Similarity based Algorithms.
    • Matrix Factorization: PCA,SVD.
    • Matrix Factorization: NMF.
    • Matrix Factorization for Collaborative filtering
    • Matrix Factorization for feature engineering.
    • Clustering as MF.
    • Hyperparameter tuning.
    • Matrix Factorization for recommender systems: Netflix Prize Solution.
    • Cold Start problem.
    • Word Vectors as MF.
    • Eigen-Faces.
  • Dimensionality reduction and Visualization
    • What is dimensionality reduction?
    • Row vector, and Column vector.
    • How to represent a dataset?
    • How to represent a dataset as a Matrix.
    • Data preprocessing: Feature Normalization
    • Mean of a datamatrix.
    • Data preprocessing: Column Standardization
    • Co-variance of a Data Matrix.
    • MNIST dataset (784 dimensional)
    • Code to load MNIST dataset.
  • Principal Component Analysis.
    • Geometric intuition.
    • Mathematical objective function.
    • Alternative formulation of PCA: distance minimization
    • Eigenvalues and eigenvectors.
    • PCA for dimensionality reduction and visualization.
    • Visualize MNIST dataset.
    • Limitations of PCA
    • PCA for dimensionality reduction (not-visualization)
  • T-distributed stochastic neighborhood embedding(t-SNE)
    • What is -SNE?
    • Neighborhood of a point, Embedding.
    • Geometric intuition.
    • Crowding problem.
    • How to apply t-SNE and interpret its output(distill.pub)
    • t-SNE on MNIST.

Module 6: Deep Learning and AI (Self Paced)

  • Introduction to Python
  • Introduction to Logistic Regression
  • Introduction to Artificial Neural Network
    • History of Neural networks and Deep Learning.
    • How Biological Neurons work?
    • Growth of biological neural networks.
    • Diagrammatic representation: Logistic Regression and Perceptron.
    • Multi-Layered Perceptron (MLP).
    • Notation.
    • Training a single-neuron model.
    • Training an MLP: Chain Rule.
    • Training an MLP:Memoization.
    • Backpropagation.
    • Activation functions.
    • Vanishing Gradient problem.
    • Bias-Variance tradeoff.
  • Deep Multi-layer perceptrons
    • Deep Multi-layer perceptrons:1980s to 2010s
    • Dropout layers & Regularization.
    • Rectified Linear Units (ReLU).
    • Weight initialization.
    • Batch Normalization.
    • Optimizers:Hill-descent analogy in 2D
    • Optimizers:Hill descent in 3D and contours.
    • SGD Recap
    • Batch SGD with momentum.
    • Nesterov Accelerated Gradient (NAG)
    • Optimizers:AdaGrad
    • Optimizers : Adadelta andRMSProp
    • Adam
    • Which algorithm to choose when?
    • Gradient Checking and clipping
    • Softmax and Cross-entropy for multi-class classification.
    • How to train a Deep MLP?
  • Convolutional Neural Network
    • Biological inspiration: Visual Cortex
    • Convolution:Edge Detection on images.
    • Convolution:Padding and strides
    • Convolution over RGB images.
    • Convolutional layer.
    • Max-pooling.
    • CNN Training: Optimization
    • Receptive Fields and Effective Receptive Fields
    • ImageNet dataset.
    • Data Augmentation.
    • Convolution Layers in Keras
    • AlexNet
    • VGGNet
  • Recurrent Neural Network
    • Why RNNs?
    • Recurrent Neural Network
    • Training RNNs: Backprop
    • Types of RNNs
    • Need for LSTM/GRU
    • LSTM
    • GRUs

Module 7: Power BI (Self Paced)

    • Introduction to PowerBI and its architecture
    • Import data from CSV files
    • Import data from Excel files
    • Import data from Web 1
    • Import data from Web 2
    • Import Real-time Streaming Data
    • Import data from Oracle
    • Import Data from Folder
    • Dataflows - Introduction
    • Dataflows - Create Gateway from Scratch
    • Dataflows - Create Entities from CSV file
    • Dataflows - Create Entities Using SQL Server
    • Remove Rows
    • Remove Columns
    • Make first row as headers
    • How to create calculate columns
    • How to remove duplicates
    • Unpivot columns and split columns
    • Change Data type, Replace Values and Rearrange the columns
    • Append Queries
    • Merge Queries
    • Visuals Intro
    • Visuals-Bar Charts
    • Visuals-Line Charts
    • Visuals-Pie Chart
    • Stacked bar Chart
    • Clustered Column Chart
    • Visuals-Area Chart and Analytics Tab Explained-0
    • Visuals-Area Chart and Analytics Tab Explained-1
    • Visuals-Combo Chart
    • Visuals-Scatter Chart
    • Visuals-Treemap Chart
    • Visuals-funnel Chart
    • Visuals-Card and Multi-Row Card
    • Visuals-Gauge Card
    • Visuals-KPIs
    • Visuals-Matrix
    • Visuals-Table
    • Visuals-Text boxes - Shapes - Images
    • Visuals-Slicers
    • Visuals-Maps
    • Custom Visuals - Word Cloud
    • Visualization interactions
    • Modeling and Relationships
    • Other ways to create Relationship
    • OLTP vs OLAP
    • Star Schema vs Snowflake Schema
    • DAX101 - Importing Data for Dax Learning
    • DAX101 - Resources for Dax Learning
    • DAX101 - What is Dax
    • DAX101 - Dax Data Types
    • DAX101 - Dax Operators and Syntax
    • DAX101 - M vs Dax
    • DAX101 - Create a Column
    • DAX101 - Rules to Create Measures
    • DAX101 - Calculated Columns vs Calculated Measures-0
    • DAX101 - Calculated Columns vs Calculated Measures-1
    • DAX101 - Sum()
    • DAX101 - AVERAGE()-MIN()-MAX()
    • DAX101 - SUMX()
    • DAX101 - DIVIDE()
    • DAX101 - COUNT()-COUNTROWS()
    • DAX101 - CALCULATE()-0
    • DAX101 - CALCULATE()-1
    • DAX101 - FILTER()
    • DAX101 - ALL()
    • DAX101 - Time Intelligence - Create Date Table in M (important)
    • DAX101 - Time Intelligence - Create Date Table in DAX
    • DAX101 - Time Intelligence - SAMEPERIODLASTYEAR()
    • DAX101 - Time Intelligence - TOTALYTD()
    • DAX101 - Display Last Refresh Date
    • DAX101 - Time Intelligence - PREVIOUSMONTH()
    • DAX101 - Time Intelligence - DATEADD()
    • DAX101 - Quick Measures
    • PowerBI Reports
    • PowerBI Workspaces
    • PowerBI Datasets
    • What are Dashboards
    • How to create Workspace and Publish Report
    • Favorite dashboards, reports, and apps in Power BI
    • Subscribe to a Report or Dashboard
    • Rename Workspace or Report or Dashboard
    • Display Reports or Dashboards in Full screen mode
    • Delete Reports or Dashboards
    • Dashboard Menus
    • File and View Options
    • Printing Dashboard and Reports
    • PATH Function
    • PATHCONTAINS Function
    • PATHITEM Function
    • PATHITEMREVERSE Function
    • PATHLENGTH Function
    • RLS - Static Row Level Security
    • RLS - Dynamic Row Level Security
    • RLS - Organizational Hierarchy
    • Sharing and Collaboration
    • Sharing Dashboard
    • Sharing Workspaces
    • Sharing App
    • Publish To Web

Program Fees

For Indian Residents

Rs. 140000 + GST*

Tenure
Deadline
Amount (INR)
1st instalment
On Selection
Rs. 25000 + GST*
2nd Instalment
20 January 2023
Rs. 23000 + GST*
3rd Instalment
20 February 2023
Rs. 23000 + GST*
4th instalment
20 March 2023
Rs. 23000 + GST*
5th instalment
20 April 2023
Rs. 23000 + GST*
6th instalment
20 May 2023
Rs. 23000 + GST*

* Fee payable after Successful Placement

Rs. 40000 + GST*

For International Students

USD 5500

1st Installment will Start One Month Before the Commencement Date.
NO COST EMI at 8850/-* (24 Months)
(*NO COST EMI Subject to Approval)
* 1% + GST* processing fees will be charged by loan partner in 6/9/12 months EMI.

100% Job Placement

100% Job Placement
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Course Certificate

Data Science Sample Certificate

data-science-sample-certificate
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Salary Graph Data Scientist

Salary Graph Data Scientist
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Tools to be Used

Program faculty members

Learn from the best

Mr Rahul Tiwary
Mr Rahul Tiwary
14+ Yr Exp. Professionals | Ex Deloitte | Ex Accenture | Ex Tech Mahindra


...

Mr Rakesh Sharma
Mr Rakesh Sharma
14+ Yr Experience Professionals


...

Mr Rajesh Kumar
Mr Rajesh Kumar
AVP, HDFC Ergo , 13+ yr Experience Professional


...

Deepak Arora
Deepak Arora
AVP at Barclays | 11+Yr Experience Professional


...

Ritu Shukla
Ritu Shukla
Sr. Data Analyst ( 8 + Yr Experienced Professional)


...

Mr. Muzzammil
Mr. Muzzammil
2+ Yr Exp. in Python, ML Few names in Industry who got 100% as appraisal & many recognition by his E


...

Testimonials

Experience of our Alumni

Akanchha Yadav

Rahul way of instructing is very good and easy to understand for all. I learnt tableau under him and I must say he has the ability to express complicated and technical information clearly and concisely. He has ample of patience in making people understand the basics. I can recommend Rahul as a person with great skills and deep experience of solutions.

Abhineet Saxena

Rahul is a great mentor. His style of teaching is absolutely great. He is very strong in Python from data Science area and has a very clear understanding of basics. I would recommend him to the people who are willing to learn Data Science concepts along with Python scripting.

Samira Gholizadeh

Rahul is an amazing educator. After passing many courses about data science and python , I finally found my confidence when Rahul was my instructor. His powerful personality, skills and motivational speaking and consulting led me to continue my learning with more confidence and enthusiasm. Rahul is very hard working and dedicated person with very positive attitude towards training and working. Thank you for dedicating your time to us to feel more comfortable in learning python.

Shikhar Agarwal

I had the opportunity to work closely with Rahul on a BI project for a US based retail chain. Right from initial interaction with him, I was impressed with his in depth understanding of business analytics principles, keen sense of ownership and excellent communication skills. His ability to review and assess raw data to start building hypothesis for insights and creating BI models to draw information was recognized by the client through multiple awards. If given the chance, I would love to work with Rahul and his team in the future.

Mayur Korde

It was a very nice and quality experience to learn data science with The Scholar . The course is well designed and our trainer was experienced and good at presenting the concept clearly by presenting the real time examples. The course content is also a well designed for new learners who want to explore more in big data. Therefore , I would recommend The Scholar.

Krishna Nath

Rahul is an excellent instructor, educator. I took Python Programming Certification Course from him. He has very deep understanding on Python, Data Science and related subjects. I am a beginner in this field. I was a bit nervous before starting this course. However, his teaching style made things very easy to follow and learn. I am really very happy to get him as my educator. In each lesson, he puts extra effort to reach every student. I was very impressed by Rahul's ability to teach in such an amazing way. Thanks a lot Rahul.

Swadesh Das

I was into non technical background and looking to change the career into Data Science. I have attended Data science course conducted by The Scholar. The course was very informative, and the mentor's concepts on Data science are very clear which made the sessions simple and very interactive . I would highly recommend whom so ever wants to pursue his/her carrier in Data science/Analytics they should consult The Scholar And the efforts from The Scholar placement team I got placed in one of the big firms as a Machine Learning Engineer.

Shimelis Kitancho

The Scholar is a Data Science Experts : They are an excellent teacher, guide, expert, or master in the field.

Aastha Chandok

I was always keen to know what Data Science is in this world of big data. Rahul Sir is a great teacher and mentor. He helped me alot in having a clear vision of what Data Science is. It is always fun analyzing and solving business problems with the guidance of Rahul sir. He has an immense knowledge in Data Science field. I would recommend him for Data Science course.

Harpreet Singh

I have attended Data science course conducted by The Scholar (Rahul) . The course was very informative, His concepts on Data science are very clear which made the sessions simple and very interactive . I would highly recommend whom so ever wants to pursue his/her carrier in Data science/Analytics they should consult The Scholar (Rahul).

Kushal Pawar

It gives me an immense pleasure to express my sincere gratitude to Rahul , for widening my knowledge acumen in Data visualisation. If somebody is seeking for any assistance in Data science, Rahul is one stop solution. His way of elucidating data science concepts is un -parallel. I was privileged enough to be groomed by an accomplished person like him.

Preetika Sindhwani

Rahul Tiwari has in-depth knowledge about the tools he's been using and teaching and the best part is, he is always updated about the new features and updates which comes along with the every new version of these tools and he keeps sharing them even after the course is completed. Conceptual knowledge, analytical thinking and Hands-on on the tool, I believe perfect blend to be a business Analyst and I'm glad that he's been my mentor. I highly recommend him to all Machine learning aspirers.

Shubham Puri

Its real life experience to learn Data Science, Tableau, Python with The Scholar. The teaching standards and content quality is really amazing with real time use cases. Also I got an opportunity to work on real time live projects. The placement support from The Scholar was amazing and as a fresher I got placed in Infosys. I was really fortunate that I got assistance from The Scholar.

Ashwini K

I have attended Data Science for Beginners in The Scholar, as a person coming from a different background, it was difficult for me to understand many concepts in Machine learning. That course with The Scholar helped me to make a foundation in data science. The beautiful part of the course was the mentor's availability to answer our questions, the process is still continuing till today. I would recommend everyone to attend the Data Science programs by The Scholar for real time industry experience.

Rabindra Sah

Interacted very closely with Rahul & attended his sessions at The Scholar . He is very strong on Python, Maths, data science & Machine Learning. Very strong fundamentals and nice way to understand business problem and recommending/predicting business solution. I learnt many aspects from him. Thanks Rahul and his Company The Scholar and best wishes ahead in this field.

Mahima K

Rahul has played a major role in my journey of learning data science. His approach towards teaching makes it very conducive for the students to quickly understand the complex concepts. Interactive sessions adds more to his glory! He goes to any extent to ensure that we understand the topics and are able to apply them.

Umang Pandya

One thing is for sure that Rahul's Transfer of skills as per his best knowledge is to keep things simple and igniting to his students at the same time. Complex theories explained easily. I am glad that I was mentored by him. His knowledge and explanations as a Data Scientist and mentor is immensely awesome. I wanna say if my current knowledge in Data Science would be counted in numbers before and after mentored by Rahul, then "My knowledge is now Statistically significant to Data Science"

Dinkar Ji

Rahul was my instructor for data science learning using python. His command over the subject is outstanding and he makes sure he is able to impart his knowledge to the students in the best way possible. He is very interactive in his sessions which makes learning very interesting, especially where he uses real life examples to explain complex concepts. I am able to kickstart my data science journey under his guidance and hope to learn more from him in future.

Sanjay Yadav

I personally recommend data scientists or BI enthusiast to for this course. Rahul is very good at explaining each and every topic with so ease that learning becomes fun.

Anamika Pandey

The mentors at The Scholar have been exemplary and visionary mentors, great educators who guided me on my journey of understanding Visualization based performance monitoring dashboards and on Data Science. I am so honored to have The Scholar team as my mentor and sincerely thank them for their understanding and thoughtfulness over the years.

Sandeep Malik

Rahul is a Fabulous Trainer. I have learned a lot from Rahul and must say that he is a very Sincere, honest and a very Hardworking Trainer also his knowledge in Data Science is Awesome. I can say that because of him only I feel confident and very comfortable in Python for Data Science now. Thank you so Much Rahul and I wish him all the best. keep rocking.

Geetika Puri

I rarely come across real talents who stand out like Rahul. I had the pleasure of working with Rahul on Machine Learning algorithm specifically. Rahul's ability to handle multiple projects was unlike any I've seen before and made a dramatic increase in the productivity level. As a leader, Rahul earns my highest recommendation.

Vishal Lote

The Scholar is a great platform where the mentors have a lot of knowledge in data science field. I started my data science journey with the guidance of The Scholar. They taught me how to solve the technical question and solve it.

Anamika Mishra

If data Analysis in your mind, no need to go anywhere else, join The scholar, it is fine if you are not from Technical background or data background like me. They can clear all your doubts from scratch without getting irritated and will help you to get certified in same. They are so clear with the concepts and you can ask real time examples if you come across. They are highly recommended.

Akanchha Yadav

Rahul way of instructing is very good and easy to understand for all. I learnt tableau under him and I must say he has the ability to express complicated and technical information clearly and concisely. He has ample of patience in making people understand the basics. I can recommend Rahul as a person with great skills and deep experience of solutions.

Abhineet Saxena

Rahul is a great mentor. His style of teaching is absolutely great. He is very strong in Python from data Science area and has a very clear understanding of basics. I would recommend him to the people who are willing to learn Data Science concepts along with Python scripting.

Samira Gholizadeh

Rahul is an amazing educator. After passing many courses about data science and python , I finally found my confidence when Rahul was my instructor. His powerful personality, skills and motivational speaking and consulting led me to continue my learning with more confidence and enthusiasm. Rahul is very hard working and dedicated person with very positive attitude towards training and working. Thank you for dedicating your time to us to feel more comfortable in learning python.

Shikhar Agarwal

I had the opportunity to work closely with Rahul on a BI project for a US based retail chain. Right from initial interaction with him, I was impressed with his in depth understanding of business analytics principles, keen sense of ownership and excellent communication skills. His ability to review and assess raw data to start building hypothesis for insights and creating BI models to draw information was recognized by the client through multiple awards. If given the chance, I would love to work with Rahul and his team in the future.

Mayur Korde

It was a very nice and quality experience to learn data science with The Scholar . The course is well designed and our trainer was experienced and good at presenting the concept clearly by presenting the real time examples. The course content is also a well designed for new learners who want to explore more in big data. Therefore , I would recommend The Scholar.

Krishna Nath

Rahul is an excellent instructor, educator. I took Python Programming Certification Course from him. He has very deep understanding on Python, Data Science and related subjects. I am a beginner in this field. I was a bit nervous before starting this course. However, his teaching style made things very easy to follow and learn. I am really very happy to get him as my educator. In each lesson, he puts extra effort to reach every student. I was very impressed by Rahul's ability to teach in such an amazing way. Thanks a lot Rahul.

Swadesh Das

I was into non technical background and looking to change the career into Data Science. I have attended Data science course conducted by The Scholar. The course was very informative, and the mentor's concepts on Data science are very clear which made the sessions simple and very interactive . I would highly recommend whom so ever wants to pursue his/her carrier in Data science/Analytics they should consult The Scholar And the efforts from The Scholar placement team I got placed in one of the big firms as a Machine Learning Engineer.

Shimelis Kitancho

The Scholar is a Data Science Experts : They are an excellent teacher, guide, expert, or master in the field.

Aastha Chandok

I was always keen to know what Data Science is in this world of big data. Rahul Sir is a great teacher and mentor. He helped me alot in having a clear vision of what Data Science is. It is always fun analyzing and solving business problems with the guidance of Rahul sir. He has an immense knowledge in Data Science field. I would recommend him for Data Science course.

Harpreet Singh

I have attended Data science course conducted by The Scholar (Rahul) . The course was very informative, His concepts on Data science are very clear which made the sessions simple and very interactive . I would highly recommend whom so ever wants to pursue his/her carrier in Data science/Analytics they should consult The Scholar (Rahul).

Kushal Pawar

It gives me an immense pleasure to express my sincere gratitude to Rahul , for widening my knowledge acumen in Data visualisation. If somebody is seeking for any assistance in Data science, Rahul is one stop solution. His way of elucidating data science concepts is un -parallel. I was privileged enough to be groomed by an accomplished person like him.

Preetika Sindhwani

Rahul Tiwari has in-depth knowledge about the tools he's been using and teaching and the best part is, he is always updated about the new features and updates which comes along with the every new version of these tools and he keeps sharing them even after the course is completed. Conceptual knowledge, analytical thinking and Hands-on on the tool, I believe perfect blend to be a business Analyst and I'm glad that he's been my mentor. I highly recommend him to all Machine learning aspirers.

Shubham Puri

Its real life experience to learn Data Science, Tableau, Python with The Scholar. The teaching standards and content quality is really amazing with real time use cases. Also I got an opportunity to work on real time live projects. The placement support from The Scholar was amazing and as a fresher I got placed in Infosys. I was really fortunate that I got assistance from The Scholar.

Ashwini K

I have attended Data Science for Beginners in The Scholar, as a person coming from a different background, it was difficult for me to understand many concepts in Machine learning. That course with The Scholar helped me to make a foundation in data science. The beautiful part of the course was the mentor's availability to answer our questions, the process is still continuing till today. I would recommend everyone to attend the Data Science programs by The Scholar for real time industry experience.

Rabindra Sah

Interacted very closely with Rahul & attended his sessions at The Scholar . He is very strong on Python, Maths, data science & Machine Learning. Very strong fundamentals and nice way to understand business problem and recommending/predicting business solution. I learnt many aspects from him. Thanks Rahul and his Company The Scholar and best wishes ahead in this field.

Mahima K

Rahul has played a major role in my journey of learning data science. His approach towards teaching makes it very conducive for the students to quickly understand the complex concepts. Interactive sessions adds more to his glory! He goes to any extent to ensure that we understand the topics and are able to apply them.

Umang Pandya

One thing is for sure that Rahul's Transfer of skills as per his best knowledge is to keep things simple and igniting to his students at the same time. Complex theories explained easily. I am glad that I was mentored by him. His knowledge and explanations as a Data Scientist and mentor is immensely awesome. I wanna say if my current knowledge in Data Science would be counted in numbers before and after mentored by Rahul, then "My knowledge is now Statistically significant to Data Science"

Dinkar Ji

Rahul was my instructor for data science learning using python. His command over the subject is outstanding and he makes sure he is able to impart his knowledge to the students in the best way possible. He is very interactive in his sessions which makes learning very interesting, especially where he uses real life examples to explain complex concepts. I am able to kickstart my data science journey under his guidance and hope to learn more from him in future.

Sanjay Yadav

I personally recommend data scientists or BI enthusiast to for this course. Rahul is very good at explaining each and every topic with so ease that learning becomes fun.

Anamika Pandey

The mentors at The Scholar have been exemplary and visionary mentors, great educators who guided me on my journey of understanding Visualization based performance monitoring dashboards and on Data Science. I am so honored to have The Scholar team as my mentor and sincerely thank them for their understanding and thoughtfulness over the years.

Sandeep Malik

Rahul is a Fabulous Trainer. I have learned a lot from Rahul and must say that he is a very Sincere, honest and a very Hardworking Trainer also his knowledge in Data Science is Awesome. I can say that because of him only I feel confident and very comfortable in Python for Data Science now. Thank you so Much Rahul and I wish him all the best. keep rocking.

Geetika Puri

I rarely come across real talents who stand out like Rahul. I had the pleasure of working with Rahul on Machine Learning algorithm specifically. Rahul's ability to handle multiple projects was unlike any I've seen before and made a dramatic increase in the productivity level. As a leader, Rahul earns my highest recommendation.

Vishal Lote

The Scholar is a great platform where the mentors have a lot of knowledge in data science field. I started my data science journey with the guidance of The Scholar. They taught me how to solve the technical question and solve it.

Anamika Mishra

If data Analysis in your mind, no need to go anywhere else, join The scholar, it is fine if you are not from Technical background or data background like me. They can clear all your doubts from scratch without getting irritated and will help you to get certified in same. They are so clear with the concepts and you can ask real time examples if you come across. They are highly recommended.

Akanchha Yadav

Rahul way of instructing is very good and easy to understand for all. I learnt tableau under him and I must say he has the ability to express complicated and technical information clearly and concisely. He has ample of patience in making people understand the basics. I can recommend Rahul as a person with great skills and deep experience of solutions.

Abhineet Saxena

Rahul is a great mentor. His style of teaching is absolutely great. He is very strong in Python from data Science area and has a very clear understanding of basics. I would recommend him to the people who are willing to learn Data Science concepts along with Python scripting.

Samira Gholizadeh

Rahul is an amazing educator. After passing many courses about data science and python , I finally found my confidence when Rahul was my instructor. His powerful personality, skills and motivational speaking and consulting led me to continue my learning with more confidence and enthusiasm. Rahul is very hard working and dedicated person with very positive attitude towards training and working. Thank you for dedicating your time to us to feel more comfortable in learning python.

Shikhar Agarwal

I had the opportunity to work closely with Rahul on a BI project for a US based retail chain. Right from initial interaction with him, I was impressed with his in depth understanding of business analytics principles, keen sense of ownership and excellent communication skills. His ability to review and assess raw data to start building hypothesis for insights and creating BI models to draw information was recognized by the client through multiple awards. If given the chance, I would love to work with Rahul and his team in the future.

Mayur Korde

It was a very nice and quality experience to learn data science with The Scholar . The course is well designed and our trainer was experienced and good at presenting the concept clearly by presenting the real time examples. The course content is also a well designed for new learners who want to explore more in big data. Therefore , I would recommend The Scholar.

Krishna Nath

Rahul is an excellent instructor, educator. I took Python Programming Certification Course from him. He has very deep understanding on Python, Data Science and related subjects. I am a beginner in this field. I was a bit nervous before starting this course. However, his teaching style made things very easy to follow and learn. I am really very happy to get him as my educator. In each lesson, he puts extra effort to reach every student. I was very impressed by Rahul's ability to teach in such an amazing way. Thanks a lot Rahul.

Swadesh Das

I was into non technical background and looking to change the career into Data Science. I have attended Data science course conducted by The Scholar. The course was very informative, and the mentor's concepts on Data science are very clear which made the sessions simple and very interactive . I would highly recommend whom so ever wants to pursue his/her carrier in Data science/Analytics they should consult The Scholar And the efforts from The Scholar placement team I got placed in one of the big firms as a Machine Learning Engineer.

Shimelis Kitancho

The Scholar is a Data Science Experts : They are an excellent teacher, guide, expert, or master in the field.

Aastha Chandok

I was always keen to know what Data Science is in this world of big data. Rahul Sir is a great teacher and mentor. He helped me alot in having a clear vision of what Data Science is. It is always fun analyzing and solving business problems with the guidance of Rahul sir. He has an immense knowledge in Data Science field. I would recommend him for Data Science course.

Harpreet Singh

I have attended Data science course conducted by The Scholar (Rahul) . The course was very informative, His concepts on Data science are very clear which made the sessions simple and very interactive . I would highly recommend whom so ever wants to pursue his/her carrier in Data science/Analytics they should consult The Scholar (Rahul).

Kushal Pawar

It gives me an immense pleasure to express my sincere gratitude to Rahul , for widening my knowledge acumen in Data visualisation. If somebody is seeking for any assistance in Data science, Rahul is one stop solution. His way of elucidating data science concepts is un -parallel. I was privileged enough to be groomed by an accomplished person like him.

Preetika Sindhwani

Rahul Tiwari has in-depth knowledge about the tools he's been using and teaching and the best part is, he is always updated about the new features and updates which comes along with the every new version of these tools and he keeps sharing them even after the course is completed. Conceptual knowledge, analytical thinking and Hands-on on the tool, I believe perfect blend to be a business Analyst and I'm glad that he's been my mentor. I highly recommend him to all Machine learning aspirers.

Shubham Puri

Its real life experience to learn Data Science, Tableau, Python with The Scholar. The teaching standards and content quality is really amazing with real time use cases. Also I got an opportunity to work on real time live projects. The placement support from The Scholar was amazing and as a fresher I got placed in Infosys. I was really fortunate that I got assistance from The Scholar.

Ashwini K

I have attended Data Science for Beginners in The Scholar, as a person coming from a different background, it was difficult for me to understand many concepts in Machine learning. That course with The Scholar helped me to make a foundation in data science. The beautiful part of the course was the mentor's availability to answer our questions, the process is still continuing till today. I would recommend everyone to attend the Data Science programs by The Scholar for real time industry experience.

Rabindra Sah

Interacted very closely with Rahul & attended his sessions at The Scholar . He is very strong on Python, Maths, data science & Machine Learning. Very strong fundamentals and nice way to understand business problem and recommending/predicting business solution. I learnt many aspects from him. Thanks Rahul and his Company The Scholar and best wishes ahead in this field.

Mahima K

Rahul has played a major role in my journey of learning data science. His approach towards teaching makes it very conducive for the students to quickly understand the complex concepts. Interactive sessions adds more to his glory! He goes to any extent to ensure that we understand the topics and are able to apply them.

Umang Pandya

One thing is for sure that Rahul's Transfer of skills as per his best knowledge is to keep things simple and igniting to his students at the same time. Complex theories explained easily. I am glad that I was mentored by him. His knowledge and explanations as a Data Scientist and mentor is immensely awesome. I wanna say if my current knowledge in Data Science would be counted in numbers before and after mentored by Rahul, then "My knowledge is now Statistically significant to Data Science"

Dinkar Ji

Rahul was my instructor for data science learning using python. His command over the subject is outstanding and he makes sure he is able to impart his knowledge to the students in the best way possible. He is very interactive in his sessions which makes learning very interesting, especially where he uses real life examples to explain complex concepts. I am able to kickstart my data science journey under his guidance and hope to learn more from him in future.

Sanjay Yadav

I personally recommend data scientists or BI enthusiast to for this course. Rahul is very good at explaining each and every topic with so ease that learning becomes fun.

Anamika Pandey

The mentors at The Scholar have been exemplary and visionary mentors, great educators who guided me on my journey of understanding Visualization based performance monitoring dashboards and on Data Science. I am so honored to have The Scholar team as my mentor and sincerely thank them for their understanding and thoughtfulness over the years.

Sandeep Malik

Rahul is a Fabulous Trainer. I have learned a lot from Rahul and must say that he is a very Sincere, honest and a very Hardworking Trainer also his knowledge in Data Science is Awesome. I can say that because of him only I feel confident and very comfortable in Python for Data Science now. Thank you so Much Rahul and I wish him all the best. keep rocking.

Geetika Puri

I rarely come across real talents who stand out like Rahul. I had the pleasure of working with Rahul on Machine Learning algorithm specifically. Rahul's ability to handle multiple projects was unlike any I've seen before and made a dramatic increase in the productivity level. As a leader, Rahul earns my highest recommendation.

Vishal Lote

The Scholar is a great platform where the mentors have a lot of knowledge in data science field. I started my data science journey with the guidance of The Scholar. They taught me how to solve the technical question and solve it.

Anamika Mishra

If data Analysis in your mind, no need to go anywhere else, join The scholar, it is fine if you are not from Technical background or data background like me. They can clear all your doubts from scratch without getting irritated and will help you to get certified in same. They are so clear with the concepts and you can ask real time examples if you come across. They are highly recommended.

Akanchha Yadav

Rahul way of instructing is very good and easy to understand for all. I learnt tableau under him and I must say he has the ability to express complicated and technical information clearly and concisely. He has ample of patience in making people understand the basics. I can recommend Rahul as a person with great skills and deep experience of solutions.

Abhineet Saxena

Rahul is a great mentor. His style of teaching is absolutely great. He is very strong in Python from data Science area and has a very clear understanding of basics. I would recommend him to the people who are willing to learn Data Science concepts along with Python scripting.

Samira Gholizadeh

Rahul is an amazing educator. After passing many courses about data science and python , I finally found my confidence when Rahul was my instructor. His powerful personality, skills and motivational speaking and consulting led me to continue my learning with more confidence and enthusiasm. Rahul is very hard working and dedicated person with very positive attitude towards training and working. Thank you for dedicating your time to us to feel more comfortable in learning python.

Shikhar Agarwal

I had the opportunity to work closely with Rahul on a BI project for a US based retail chain. Right from initial interaction with him, I was impressed with his in depth understanding of business analytics principles, keen sense of ownership and excellent communication skills. His ability to review and assess raw data to start building hypothesis for insights and creating BI models to draw information was recognized by the client through multiple awards. If given the chance, I would love to work with Rahul and his team in the future.

Mayur Korde

It was a very nice and quality experience to learn data science with The Scholar . The course is well designed and our trainer was experienced and good at presenting the concept clearly by presenting the real time examples. The course content is also a well designed for new learners who want to explore more in big data. Therefore , I would recommend The Scholar.

Krishna Nath

Rahul is an excellent instructor, educator. I took Python Programming Certification Course from him. He has very deep understanding on Python, Data Science and related subjects. I am a beginner in this field. I was a bit nervous before starting this course. However, his teaching style made things very easy to follow and learn. I am really very happy to get him as my educator. In each lesson, he puts extra effort to reach every student. I was very impressed by Rahul's ability to teach in such an amazing way. Thanks a lot Rahul.

Swadesh Das

I was into non technical background and looking to change the career into Data Science. I have attended Data science course conducted by The Scholar. The course was very informative, and the mentor's concepts on Data science are very clear which made the sessions simple and very interactive . I would highly recommend whom so ever wants to pursue his/her carrier in Data science/Analytics they should consult The Scholar And the efforts from The Scholar placement team I got placed in one of the big firms as a Machine Learning Engineer.

Shimelis Kitancho

The Scholar is a Data Science Experts : They are an excellent teacher, guide, expert, or master in the field.

Aastha Chandok

I was always keen to know what Data Science is in this world of big data. Rahul Sir is a great teacher and mentor. He helped me alot in having a clear vision of what Data Science is. It is always fun analyzing and solving business problems with the guidance of Rahul sir. He has an immense knowledge in Data Science field. I would recommend him for Data Science course.

Harpreet Singh

I have attended Data science course conducted by The Scholar (Rahul) . The course was very informative, His concepts on Data science are very clear which made the sessions simple and very interactive . I would highly recommend whom so ever wants to pursue his/her carrier in Data science/Analytics they should consult The Scholar (Rahul).

Kushal Pawar

It gives me an immense pleasure to express my sincere gratitude to Rahul , for widening my knowledge acumen in Data visualisation. If somebody is seeking for any assistance in Data science, Rahul is one stop solution. His way of elucidating data science concepts is un -parallel. I was privileged enough to be groomed by an accomplished person like him.

Preetika Sindhwani

Rahul Tiwari has in-depth knowledge about the tools he's been using and teaching and the best part is, he is always updated about the new features and updates which comes along with the every new version of these tools and he keeps sharing them even after the course is completed. Conceptual knowledge, analytical thinking and Hands-on on the tool, I believe perfect blend to be a business Analyst and I'm glad that he's been my mentor. I highly recommend him to all Machine learning aspirers.

Shubham Puri

Its real life experience to learn Data Science, Tableau, Python with The Scholar. The teaching standards and content quality is really amazing with real time use cases. Also I got an opportunity to work on real time live projects. The placement support from The Scholar was amazing and as a fresher I got placed in Infosys. I was really fortunate that I got assistance from The Scholar.

Ashwini K

I have attended Data Science for Beginners in The Scholar, as a person coming from a different background, it was difficult for me to understand many concepts in Machine learning. That course with The Scholar helped me to make a foundation in data science. The beautiful part of the course was the mentor's availability to answer our questions, the process is still continuing till today. I would recommend everyone to attend the Data Science programs by The Scholar for real time industry experience.

Rabindra Sah

Interacted very closely with Rahul & attended his sessions at The Scholar . He is very strong on Python, Maths, data science & Machine Learning. Very strong fundamentals and nice way to understand business problem and recommending/predicting business solution. I learnt many aspects from him. Thanks Rahul and his Company The Scholar and best wishes ahead in this field.

Mahima K

Rahul has played a major role in my journey of learning data science. His approach towards teaching makes it very conducive for the students to quickly understand the complex concepts. Interactive sessions adds more to his glory! He goes to any extent to ensure that we understand the topics and are able to apply them.

Umang Pandya

One thing is for sure that Rahul's Transfer of skills as per his best knowledge is to keep things simple and igniting to his students at the same time. Complex theories explained easily. I am glad that I was mentored by him. His knowledge and explanations as a Data Scientist and mentor is immensely awesome. I wanna say if my current knowledge in Data Science would be counted in numbers before and after mentored by Rahul, then "My knowledge is now Statistically significant to Data Science"

Dinkar Ji

Rahul was my instructor for data science learning using python. His command over the subject is outstanding and he makes sure he is able to impart his knowledge to the students in the best way possible. He is very interactive in his sessions which makes learning very interesting, especially where he uses real life examples to explain complex concepts. I am able to kickstart my data science journey under his guidance and hope to learn more from him in future.

Sanjay Yadav

I personally recommend data scientists or BI enthusiast to for this course. Rahul is very good at explaining each and every topic with so ease that learning becomes fun.

Anamika Pandey

The mentors at The Scholar have been exemplary and visionary mentors, great educators who guided me on my journey of understanding Visualization based performance monitoring dashboards and on Data Science. I am so honored to have The Scholar team as my mentor and sincerely thank them for their understanding and thoughtfulness over the years.

Sandeep Malik

Rahul is a Fabulous Trainer. I have learned a lot from Rahul and must say that he is a very Sincere, honest and a very Hardworking Trainer also his knowledge in Data Science is Awesome. I can say that because of him only I feel confident and very comfortable in Python for Data Science now. Thank you so Much Rahul and I wish him all the best. keep rocking.

Geetika Puri

I rarely come across real talents who stand out like Rahul. I had the pleasure of working with Rahul on Machine Learning algorithm specifically. Rahul's ability to handle multiple projects was unlike any I've seen before and made a dramatic increase in the productivity level. As a leader, Rahul earns my highest recommendation.

Vishal Lote

The Scholar is a great platform where the mentors have a lot of knowledge in data science field. I started my data science journey with the guidance of The Scholar. They taught me how to solve the technical question and solve it.

Anamika Mishra

If data Analysis in your mind, no need to go anywhere else, join The scholar, it is fine if you are not from Technical background or data background like me. They can clear all your doubts from scratch without getting irritated and will help you to get certified in same. They are so clear with the concepts and you can ask real time examples if you come across. They are highly recommended.

Akanchha Yadav

Rahul way of instructing is very good and easy to understand for all. I learnt tableau under him and I must say he has the ability to express complicated and technical information clearly and concisely. He has ample of patience in making people understand the basics. I can recommend Rahul as a person with great skills and deep experience of solutions.

Abhineet Saxena

Rahul is a great mentor. His style of teaching is absolutely great. He is very strong in Python from data Science area and has a very clear understanding of basics. I would recommend him to the people who are willing to learn Data Science concepts along with Python scripting.

Samira Gholizadeh

Rahul is an amazing educator. After passing many courses about data science and python , I finally found my confidence when Rahul was my instructor. His powerful personality, skills and motivational speaking and consulting led me to continue my learning with more confidence and enthusiasm. Rahul is very hard working and dedicated person with very positive attitude towards training and working. Thank you for dedicating your time to us to feel more comfortable in learning python.

Shikhar Agarwal

I had the opportunity to work closely with Rahul on a BI project for a US based retail chain. Right from initial interaction with him, I was impressed with his in depth understanding of business analytics principles, keen sense of ownership and excellent communication skills. His ability to review and assess raw data to start building hypothesis for insights and creating BI models to draw information was recognized by the client through multiple awards. If given the chance, I would love to work with Rahul and his team in the future.

Mayur Korde

It was a very nice and quality experience to learn data science with The Scholar . The course is well designed and our trainer was experienced and good at presenting the concept clearly by presenting the real time examples. The course content is also a well designed for new learners who want to explore more in big data. Therefore , I would recommend The Scholar.

Krishna Nath

Rahul is an excellent instructor, educator. I took Python Programming Certification Course from him. He has very deep understanding on Python, Data Science and related subjects. I am a beginner in this field. I was a bit nervous before starting this course. However, his teaching style made things very easy to follow and learn. I am really very happy to get him as my educator. In each lesson, he puts extra effort to reach every student. I was very impressed by Rahul's ability to teach in such an amazing way. Thanks a lot Rahul.

Swadesh Das

I was into non technical background and looking to change the career into Data Science. I have attended Data science course conducted by The Scholar. The course was very informative, and the mentor's concepts on Data science are very clear which made the sessions simple and very interactive . I would highly recommend whom so ever wants to pursue his/her carrier in Data science/Analytics they should consult The Scholar And the efforts from The Scholar placement team I got placed in one of the big firms as a Machine Learning Engineer.

Shimelis Kitancho

The Scholar is a Data Science Experts : They are an excellent teacher, guide, expert, or master in the field.

Aastha Chandok

I was always keen to know what Data Science is in this world of big data. Rahul Sir is a great teacher and mentor. He helped me alot in having a clear vision of what Data Science is. It is always fun analyzing and solving business problems with the guidance of Rahul sir. He has an immense knowledge in Data Science field. I would recommend him for Data Science course.

Harpreet Singh

I have attended Data science course conducted by The Scholar (Rahul) . The course was very informative, His concepts on Data science are very clear which made the sessions simple and very interactive . I would highly recommend whom so ever wants to pursue his/her carrier in Data science/Analytics they should consult The Scholar (Rahul).

Kushal Pawar

It gives me an immense pleasure to express my sincere gratitude to Rahul , for widening my knowledge acumen in Data visualisation. If somebody is seeking for any assistance in Data science, Rahul is one stop solution. His way of elucidating data science concepts is un -parallel. I was privileged enough to be groomed by an accomplished person like him.

Preetika Sindhwani

Rahul Tiwari has in-depth knowledge about the tools he's been using and teaching and the best part is, he is always updated about the new features and updates which comes along with the every new version of these tools and he keeps sharing them even after the course is completed. Conceptual knowledge, analytical thinking and Hands-on on the tool, I believe perfect blend to be a business Analyst and I'm glad that he's been my mentor. I highly recommend him to all Machine learning aspirers.

Shubham Puri

Its real life experience to learn Data Science, Tableau, Python with The Scholar. The teaching standards and content quality is really amazing with real time use cases. Also I got an opportunity to work on real time live projects. The placement support from The Scholar was amazing and as a fresher I got placed in Infosys. I was really fortunate that I got assistance from The Scholar.

Ashwini K

I have attended Data Science for Beginners in The Scholar, as a person coming from a different background, it was difficult for me to understand many concepts in Machine learning. That course with The Scholar helped me to make a foundation in data science. The beautiful part of the course was the mentor's availability to answer our questions, the process is still continuing till today. I would recommend everyone to attend the Data Science programs by The Scholar for real time industry experience.

Rabindra Sah

Interacted very closely with Rahul & attended his sessions at The Scholar . He is very strong on Python, Maths, data science & Machine Learning. Very strong fundamentals and nice way to understand business problem and recommending/predicting business solution. I learnt many aspects from him. Thanks Rahul and his Company The Scholar and best wishes ahead in this field.

Mahima K

Rahul has played a major role in my journey of learning data science. His approach towards teaching makes it very conducive for the students to quickly understand the complex concepts. Interactive sessions adds more to his glory! He goes to any extent to ensure that we understand the topics and are able to apply them.

Umang Pandya

One thing is for sure that Rahul's Transfer of skills as per his best knowledge is to keep things simple and igniting to his students at the same time. Complex theories explained easily. I am glad that I was mentored by him. His knowledge and explanations as a Data Scientist and mentor is immensely awesome. I wanna say if my current knowledge in Data Science would be counted in numbers before and after mentored by Rahul, then "My knowledge is now Statistically significant to Data Science"

Dinkar Ji

Rahul was my instructor for data science learning using python. His command over the subject is outstanding and he makes sure he is able to impart his knowledge to the students in the best way possible. He is very interactive in his sessions which makes learning very interesting, especially where he uses real life examples to explain complex concepts. I am able to kickstart my data science journey under his guidance and hope to learn more from him in future.

Sanjay Yadav

I personally recommend data scientists or BI enthusiast to for this course. Rahul is very good at explaining each and every topic with so ease that learning becomes fun.

Anamika Pandey

The mentors at The Scholar have been exemplary and visionary mentors, great educators who guided me on my journey of understanding Visualization based performance monitoring dashboards and on Data Science. I am so honored to have The Scholar team as my mentor and sincerely thank them for their understanding and thoughtfulness over the years.

Sandeep Malik

Rahul is a Fabulous Trainer. I have learned a lot from Rahul and must say that he is a very Sincere, honest and a very Hardworking Trainer also his knowledge in Data Science is Awesome. I can say that because of him only I feel confident and very comfortable in Python for Data Science now. Thank you so Much Rahul and I wish him all the best. keep rocking.

Geetika Puri

I rarely come across real talents who stand out like Rahul. I had the pleasure of working with Rahul on Machine Learning algorithm specifically. Rahul's ability to handle multiple projects was unlike any I've seen before and made a dramatic increase in the productivity level. As a leader, Rahul earns my highest recommendation.

Vishal Lote

The Scholar is a great platform where the mentors have a lot of knowledge in data science field. I started my data science journey with the guidance of The Scholar. They taught me how to solve the technical question and solve it.

Anamika Mishra

If data Analysis in your mind, no need to go anywhere else, join The scholar, it is fine if you are not from Technical background or data background like me. They can clear all your doubts from scratch without getting irritated and will help you to get certified in same. They are so clear with the concepts and you can ask real time examples if you come across. They are highly recommended.

Akanchha Yadav

Rahul way of instructing is very good and easy to understand for all. I learnt tableau under him and I must say he has the ability to express complicated and technical information clearly and concisely. He has ample of patience in making people understand the basics. I can recommend Rahul as a person with great skills and deep experience of solutions.

Abhineet Saxena

Rahul is a great mentor. His style of teaching is absolutely great. He is very strong in Python from data Science area and has a very clear understanding of basics. I would recommend him to the people who are willing to learn Data Science concepts along with Python scripting.

Samira Gholizadeh

Rahul is an amazing educator. After passing many courses about data science and python , I finally found my confidence when Rahul was my instructor. His powerful personality, skills and motivational speaking and consulting led me to continue my learning with more confidence and enthusiasm. Rahul is very hard working and dedicated person with very positive attitude towards training and working. Thank you for dedicating your time to us to feel more comfortable in learning python.

Shikhar Agarwal

I had the opportunity to work closely with Rahul on a BI project for a US based retail chain. Right from initial interaction with him, I was impressed with his in depth understanding of business analytics principles, keen sense of ownership and excellent communication skills. His ability to review and assess raw data to start building hypothesis for insights and creating BI models to draw information was recognized by the client through multiple awards. If given the chance, I would love to work with Rahul and his team in the future.

Mayur Korde

It was a very nice and quality experience to learn data science with The Scholar . The course is well designed and our trainer was experienced and good at presenting the concept clearly by presenting the real time examples. The course content is also a well designed for new learners who want to explore more in big data. Therefore , I would recommend The Scholar.

Krishna Nath

Rahul is an excellent instructor, educator. I took Python Programming Certification Course from him. He has very deep understanding on Python, Data Science and related subjects. I am a beginner in this field. I was a bit nervous before starting this course. However, his teaching style made things very easy to follow and learn. I am really very happy to get him as my educator. In each lesson, he puts extra effort to reach every student. I was very impressed by Rahul's ability to teach in such an amazing way. Thanks a lot Rahul.

Swadesh Das

I was into non technical background and looking to change the career into Data Science. I have attended Data science course conducted by The Scholar. The course was very informative, and the mentor's concepts on Data science are very clear which made the sessions simple and very interactive . I would highly recommend whom so ever wants to pursue his/her carrier in Data science/Analytics they should consult The Scholar And the efforts from The Scholar placement team I got placed in one of the big firms as a Machine Learning Engineer.

Shimelis Kitancho

The Scholar is a Data Science Experts : They are an excellent teacher, guide, expert, or master in the field.

Aastha Chandok

I was always keen to know what Data Science is in this world of big data. Rahul Sir is a great teacher and mentor. He helped me alot in having a clear vision of what Data Science is. It is always fun analyzing and solving business problems with the guidance of Rahul sir. He has an immense knowledge in Data Science field. I would recommend him for Data Science course.

Harpreet Singh

I have attended Data science course conducted by The Scholar (Rahul) . The course was very informative, His concepts on Data science are very clear which made the sessions simple and very interactive . I would highly recommend whom so ever wants to pursue his/her carrier in Data science/Analytics they should consult The Scholar (Rahul).

Kushal Pawar

It gives me an immense pleasure to express my sincere gratitude to Rahul , for widening my knowledge acumen in Data visualisation. If somebody is seeking for any assistance in Data science, Rahul is one stop solution. His way of elucidating data science concepts is un -parallel. I was privileged enough to be groomed by an accomplished person like him.

Preetika Sindhwani

Rahul Tiwari has in-depth knowledge about the tools he's been using and teaching and the best part is, he is always updated about the new features and updates which comes along with the every new version of these tools and he keeps sharing them even after the course is completed. Conceptual knowledge, analytical thinking and Hands-on on the tool, I believe perfect blend to be a business Analyst and I'm glad that he's been my mentor. I highly recommend him to all Machine learning aspirers.

Shubham Puri

Its real life experience to learn Data Science, Tableau, Python with The Scholar. The teaching standards and content quality is really amazing with real time use cases. Also I got an opportunity to work on real time live projects. The placement support from The Scholar was amazing and as a fresher I got placed in Infosys. I was really fortunate that I got assistance from The Scholar.

Ashwini K

I have attended Data Science for Beginners in The Scholar, as a person coming from a different background, it was difficult for me to understand many concepts in Machine learning. That course with The Scholar helped me to make a foundation in data science. The beautiful part of the course was the mentor's availability to answer our questions, the process is still continuing till today. I would recommend everyone to attend the Data Science programs by The Scholar for real time industry experience.

Rabindra Sah

Interacted very closely with Rahul & attended his sessions at The Scholar . He is very strong on Python, Maths, data science & Machine Learning. Very strong fundamentals and nice way to understand business problem and recommending/predicting business solution. I learnt many aspects from him. Thanks Rahul and his Company The Scholar and best wishes ahead in this field.

Mahima K

Rahul has played a major role in my journey of learning data science. His approach towards teaching makes it very conducive for the students to quickly understand the complex concepts. Interactive sessions adds more to his glory! He goes to any extent to ensure that we understand the topics and are able to apply them.

Umang Pandya

One thing is for sure that Rahul's Transfer of skills as per his best knowledge is to keep things simple and igniting to his students at the same time. Complex theories explained easily. I am glad that I was mentored by him. His knowledge and explanations as a Data Scientist and mentor is immensely awesome. I wanna say if my current knowledge in Data Science would be counted in numbers before and after mentored by Rahul, then "My knowledge is now Statistically significant to Data Science"

Dinkar Ji

Rahul was my instructor for data science learning using python. His command over the subject is outstanding and he makes sure he is able to impart his knowledge to the students in the best way possible. He is very interactive in his sessions which makes learning very interesting, especially where he uses real life examples to explain complex concepts. I am able to kickstart my data science journey under his guidance and hope to learn more from him in future.

Sanjay Yadav

I personally recommend data scientists or BI enthusiast to for this course. Rahul is very good at explaining each and every topic with so ease that learning becomes fun.

Anamika Pandey

The mentors at The Scholar have been exemplary and visionary mentors, great educators who guided me on my journey of understanding Visualization based performance monitoring dashboards and on Data Science. I am so honored to have The Scholar team as my mentor and sincerely thank them for their understanding and thoughtfulness over the years.

Sandeep Malik

Rahul is a Fabulous Trainer. I have learned a lot from Rahul and must say that he is a very Sincere, honest and a very Hardworking Trainer also his knowledge in Data Science is Awesome. I can say that because of him only I feel confident and very comfortable in Python for Data Science now. Thank you so Much Rahul and I wish him all the best. keep rocking.

Geetika Puri

I rarely come across real talents who stand out like Rahul. I had the pleasure of working with Rahul on Machine Learning algorithm specifically. Rahul's ability to handle multiple projects was unlike any I've seen before and made a dramatic increase in the productivity level. As a leader, Rahul earns my highest recommendation.

Vishal Lote

The Scholar is a great platform where the mentors have a lot of knowledge in data science field. I started my data science journey with the guidance of The Scholar. They taught me how to solve the technical question and solve it.

Anamika Mishra

If data Analysis in your mind, no need to go anywhere else, join The scholar, it is fine if you are not from Technical background or data background like me. They can clear all your doubts from scratch without getting irritated and will help you to get certified in same. They are so clear with the concepts and you can ask real time examples if you come across. They are highly recommended.

Akanchha Yadav

Rahul way of instructing is very good and easy to understand for all. I learnt tableau under him and I must say he has the ability to express complicated and technical information clearly and concisely. He has ample of patience in making people understand the basics. I can recommend Rahul as a person with great skills and deep experience of solutions.

Abhineet Saxena

Rahul is a great mentor. His style of teaching is absolutely great. He is very strong in Python from data Science area and has a very clear understanding of basics. I would recommend him to the people who are willing to learn Data Science concepts along with Python scripting.

Samira Gholizadeh

Rahul is an amazing educator. After passing many courses about data science and python , I finally found my confidence when Rahul was my instructor. His powerful personality, skills and motivational speaking and consulting led me to continue my learning with more confidence and enthusiasm. Rahul is very hard working and dedicated person with very positive attitude towards training and working. Thank you for dedicating your time to us to feel more comfortable in learning python.

Shikhar Agarwal

I had the opportunity to work closely with Rahul on a BI project for a US based retail chain. Right from initial interaction with him, I was impressed with his in depth understanding of business analytics principles, keen sense of ownership and excellent communication skills. His ability to review and assess raw data to start building hypothesis for insights and creating BI models to draw information was recognized by the client through multiple awards. If given the chance, I would love to work with Rahul and his team in the future.

Mayur Korde

It was a very nice and quality experience to learn data science with The Scholar . The course is well designed and our trainer was experienced and good at presenting the concept clearly by presenting the real time examples. The course content is also a well designed for new learners who want to explore more in big data. Therefore , I would recommend The Scholar.

Krishna Nath

Rahul is an excellent instructor, educator. I took Python Programming Certification Course from him. He has very deep understanding on Python, Data Science and related subjects. I am a beginner in this field. I was a bit nervous before starting this course. However, his teaching style made things very easy to follow and learn. I am really very happy to get him as my educator. In each lesson, he puts extra effort to reach every student. I was very impressed by Rahul's ability to teach in such an amazing way. Thanks a lot Rahul.

Swadesh Das

I was into non technical background and looking to change the career into Data Science. I have attended Data science course conducted by The Scholar. The course was very informative, and the mentor's concepts on Data science are very clear which made the sessions simple and very interactive . I would highly recommend whom so ever wants to pursue his/her carrier in Data science/Analytics they should consult The Scholar And the efforts from The Scholar placement team I got placed in one of the big firms as a Machine Learning Engineer.

Shimelis Kitancho

The Scholar is a Data Science Experts : They are an excellent teacher, guide, expert, or master in the field.

Aastha Chandok

I was always keen to know what Data Science is in this world of big data. Rahul Sir is a great teacher and mentor. He helped me alot in having a clear vision of what Data Science is. It is always fun analyzing and solving business problems with the guidance of Rahul sir. He has an immense knowledge in Data Science field. I would recommend him for Data Science course.

Harpreet Singh

I have attended Data science course conducted by The Scholar (Rahul) . The course was very informative, His concepts on Data science are very clear which made the sessions simple and very interactive . I would highly recommend whom so ever wants to pursue his/her carrier in Data science/Analytics they should consult The Scholar (Rahul).

Kushal Pawar

It gives me an immense pleasure to express my sincere gratitude to Rahul , for widening my knowledge acumen in Data visualisation. If somebody is seeking for any assistance in Data science, Rahul is one stop solution. His way of elucidating data science concepts is un -parallel. I was privileged enough to be groomed by an accomplished person like him.

Preetika Sindhwani

Rahul Tiwari has in-depth knowledge about the tools he's been using and teaching and the best part is, he is always updated about the new features and updates which comes along with the every new version of these tools and he keeps sharing them even after the course is completed. Conceptual knowledge, analytical thinking and Hands-on on the tool, I believe perfect blend to be a business Analyst and I'm glad that he's been my mentor. I highly recommend him to all Machine learning aspirers.

Shubham Puri

Its real life experience to learn Data Science, Tableau, Python with The Scholar. The teaching standards and content quality is really amazing with real time use cases. Also I got an opportunity to work on real time live projects. The placement support from The Scholar was amazing and as a fresher I got placed in Infosys. I was really fortunate that I got assistance from The Scholar.

Ashwini K

I have attended Data Science for Beginners in The Scholar, as a person coming from a different background, it was difficult for me to understand many concepts in Machine learning. That course with The Scholar helped me to make a foundation in data science. The beautiful part of the course was the mentor's availability to answer our questions, the process is still continuing till today. I would recommend everyone to attend the Data Science programs by The Scholar for real time industry experience.

Rabindra Sah

Interacted very closely with Rahul & attended his sessions at The Scholar . He is very strong on Python, Maths, data science & Machine Learning. Very strong fundamentals and nice way to understand business problem and recommending/predicting business solution. I learnt many aspects from him. Thanks Rahul and his Company The Scholar and best wishes ahead in this field.

Mahima K

Rahul has played a major role in my journey of learning data science. His approach towards teaching makes it very conducive for the students to quickly understand the complex concepts. Interactive sessions adds more to his glory! He goes to any extent to ensure that we understand the topics and are able to apply them.

Umang Pandya

One thing is for sure that Rahul's Transfer of skills as per his best knowledge is to keep things simple and igniting to his students at the same time. Complex theories explained easily. I am glad that I was mentored by him. His knowledge and explanations as a Data Scientist and mentor is immensely awesome. I wanna say if my current knowledge in Data Science would be counted in numbers before and after mentored by Rahul, then "My knowledge is now Statistically significant to Data Science"

Dinkar Ji

Rahul was my instructor for data science learning using python. His command over the subject is outstanding and he makes sure he is able to impart his knowledge to the students in the best way possible. He is very interactive in his sessions which makes learning very interesting, especially where he uses real life examples to explain complex concepts. I am able to kickstart my data science journey under his guidance and hope to learn more from him in future.

Sanjay Yadav

I personally recommend data scientists or BI enthusiast to for this course. Rahul is very good at explaining each and every topic with so ease that learning becomes fun.

Anamika Pandey

The mentors at The Scholar have been exemplary and visionary mentors, great educators who guided me on my journey of understanding Visualization based performance monitoring dashboards and on Data Science. I am so honored to have The Scholar team as my mentor and sincerely thank them for their understanding and thoughtfulness over the years.

Sandeep Malik

Rahul is a Fabulous Trainer. I have learned a lot from Rahul and must say that he is a very Sincere, honest and a very Hardworking Trainer also his knowledge in Data Science is Awesome. I can say that because of him only I feel confident and very comfortable in Python for Data Science now. Thank you so Much Rahul and I wish him all the best. keep rocking.

Geetika Puri

I rarely come across real talents who stand out like Rahul. I had the pleasure of working with Rahul on Machine Learning algorithm specifically. Rahul's ability to handle multiple projects was unlike any I've seen before and made a dramatic increase in the productivity level. As a leader, Rahul earns my highest recommendation.

Vishal Lote

The Scholar is a great platform where the mentors have a lot of knowledge in data science field. I started my data science journey with the guidance of The Scholar. They taught me how to solve the technical question and solve it.

Anamika Mishra

If data Analysis in your mind, no need to go anywhere else, join The scholar, it is fine if you are not from Technical background or data background like me. They can clear all your doubts from scratch without getting irritated and will help you to get certified in same. They are so clear with the concepts and you can ask real time examples if you come across. They are highly recommended.

Akanchha Yadav

Rahul way of instructing is very good and easy to understand for all. I learnt tableau under him and I must say he has the ability to express complicated and technical information clearly and concisely. He has ample of patience in making people understand the basics. I can recommend Rahul as a person with great skills and deep experience of solutions.

Abhineet Saxena

Rahul is a great mentor. His style of teaching is absolutely great. He is very strong in Python from data Science area and has a very clear understanding of basics. I would recommend him to the people who are willing to learn Data Science concepts along with Python scripting.

Samira Gholizadeh

Rahul is an amazing educator. After passing many courses about data science and python , I finally found my confidence when Rahul was my instructor. His powerful personality, skills and motivational speaking and consulting led me to continue my learning with more confidence and enthusiasm. Rahul is very hard working and dedicated person with very positive attitude towards training and working. Thank you for dedicating your time to us to feel more comfortable in learning python.

Shikhar Agarwal

I had the opportunity to work closely with Rahul on a BI project for a US based retail chain. Right from initial interaction with him, I was impressed with his in depth understanding of business analytics principles, keen sense of ownership and excellent communication skills. His ability to review and assess raw data to start building hypothesis for insights and creating BI models to draw information was recognized by the client through multiple awards. If given the chance, I would love to work with Rahul and his team in the future.

Mayur Korde

It was a very nice and quality experience to learn data science with The Scholar . The course is well designed and our trainer was experienced and good at presenting the concept clearly by presenting the real time examples. The course content is also a well designed for new learners who want to explore more in big data. Therefore , I would recommend The Scholar.

Krishna Nath

Rahul is an excellent instructor, educator. I took Python Programming Certification Course from him. He has very deep understanding on Python, Data Science and related subjects. I am a beginner in this field. I was a bit nervous before starting this course. However, his teaching style made things very easy to follow and learn. I am really very happy to get him as my educator. In each lesson, he puts extra effort to reach every student. I was very impressed by Rahul's ability to teach in such an amazing way. Thanks a lot Rahul.

Swadesh Das

I was into non technical background and looking to change the career into Data Science. I have attended Data science course conducted by The Scholar. The course was very informative, and the mentor's concepts on Data science are very clear which made the sessions simple and very interactive . I would highly recommend whom so ever wants to pursue his/her carrier in Data science/Analytics they should consult The Scholar And the efforts from The Scholar placement team I got placed in one of the big firms as a Machine Learning Engineer.

Shimelis Kitancho

The Scholar is a Data Science Experts : They are an excellent teacher, guide, expert, or master in the field.

Aastha Chandok

I was always keen to know what Data Science is in this world of big data. Rahul Sir is a great teacher and mentor. He helped me alot in having a clear vision of what Data Science is. It is always fun analyzing and solving business problems with the guidance of Rahul sir. He has an immense knowledge in Data Science field. I would recommend him for Data Science course.

Harpreet Singh

I have attended Data science course conducted by The Scholar (Rahul) . The course was very informative, His concepts on Data science are very clear which made the sessions simple and very interactive . I would highly recommend whom so ever wants to pursue his/her carrier in Data science/Analytics they should consult The Scholar (Rahul).

Kushal Pawar

It gives me an immense pleasure to express my sincere gratitude to Rahul , for widening my knowledge acumen in Data visualisation. If somebody is seeking for any assistance in Data science, Rahul is one stop solution. His way of elucidating data science concepts is un -parallel. I was privileged enough to be groomed by an accomplished person like him.

Preetika Sindhwani

Rahul Tiwari has in-depth knowledge about the tools he's been using and teaching and the best part is, he is always updated about the new features and updates which comes along with the every new version of these tools and he keeps sharing them even after the course is completed. Conceptual knowledge, analytical thinking and Hands-on on the tool, I believe perfect blend to be a business Analyst and I'm glad that he's been my mentor. I highly recommend him to all Machine learning aspirers.

Shubham Puri

Its real life experience to learn Data Science, Tableau, Python with The Scholar. The teaching standards and content quality is really amazing with real time use cases. Also I got an opportunity to work on real time live projects. The placement support from The Scholar was amazing and as a fresher I got placed in Infosys. I was really fortunate that I got assistance from The Scholar.

Ashwini K

I have attended Data Science for Beginners in The Scholar, as a person coming from a different background, it was difficult for me to understand many concepts in Machine learning. That course with The Scholar helped me to make a foundation in data science. The beautiful part of the course was the mentor's availability to answer our questions, the process is still continuing till today. I would recommend everyone to attend the Data Science programs by The Scholar for real time industry experience.

Rabindra Sah

Interacted very closely with Rahul & attended his sessions at The Scholar . He is very strong on Python, Maths, data science & Machine Learning. Very strong fundamentals and nice way to understand business problem and recommending/predicting business solution. I learnt many aspects from him. Thanks Rahul and his Company The Scholar and best wishes ahead in this field.

Mahima K

Rahul has played a major role in my journey of learning data science. His approach towards teaching makes it very conducive for the students to quickly understand the complex concepts. Interactive sessions adds more to his glory! He goes to any extent to ensure that we understand the topics and are able to apply them.

Umang Pandya

One thing is for sure that Rahul's Transfer of skills as per his best knowledge is to keep things simple and igniting to his students at the same time. Complex theories explained easily. I am glad that I was mentored by him. His knowledge and explanations as a Data Scientist and mentor is immensely awesome. I wanna say if my current knowledge in Data Science would be counted in numbers before and after mentored by Rahul, then "My knowledge is now Statistically significant to Data Science"

Dinkar Ji

Rahul was my instructor for data science learning using python. His command over the subject is outstanding and he makes sure he is able to impart his knowledge to the students in the best way possible. He is very interactive in his sessions which makes learning very interesting, especially where he uses real life examples to explain complex concepts. I am able to kickstart my data science journey under his guidance and hope to learn more from him in future.

Sanjay Yadav

I personally recommend data scientists or BI enthusiast to for this course. Rahul is very good at explaining each and every topic with so ease that learning becomes fun.

Anamika Pandey

The mentors at The Scholar have been exemplary and visionary mentors, great educators who guided me on my journey of understanding Visualization based performance monitoring dashboards and on Data Science. I am so honored to have The Scholar team as my mentor and sincerely thank them for their understanding and thoughtfulness over the years.

Sandeep Malik

Rahul is a Fabulous Trainer. I have learned a lot from Rahul and must say that he is a very Sincere, honest and a very Hardworking Trainer also his knowledge in Data Science is Awesome. I can say that because of him only I feel confident and very comfortable in Python for Data Science now. Thank you so Much Rahul and I wish him all the best. keep rocking.

Geetika Puri

I rarely come across real talents who stand out like Rahul. I had the pleasure of working with Rahul on Machine Learning algorithm specifically. Rahul's ability to handle multiple projects was unlike any I've seen before and made a dramatic increase in the productivity level. As a leader, Rahul earns my highest recommendation.

Vishal Lote

The Scholar is a great platform where the mentors have a lot of knowledge in data science field. I started my data science journey with the guidance of The Scholar. They taught me how to solve the technical question and solve it.

Anamika Mishra

If data Analysis in your mind, no need to go anywhere else, join The scholar, it is fine if you are not from Technical background or data background like me. They can clear all your doubts from scratch without getting irritated and will help you to get certified in same. They are so clear with the concepts and you can ask real time examples if you come across. They are highly recommended.

Akanchha Yadav

Rahul way of instructing is very good and easy to understand for all. I learnt tableau under him and I must say he has the ability to express complicated and technical information clearly and concisely. He has ample of patience in making people understand the basics. I can recommend Rahul as a person with great skills and deep experience of solutions.

Abhineet Saxena

Rahul is a great mentor. His style of teaching is absolutely great. He is very strong in Python from data Science area and has a very clear understanding of basics. I would recommend him to the people who are willing to learn Data Science concepts along with Python scripting.

Samira Gholizadeh

Rahul is an amazing educator. After passing many courses about data science and python , I finally found my confidence when Rahul was my instructor. His powerful personality, skills and motivational speaking and consulting led me to continue my learning with more confidence and enthusiasm. Rahul is very hard working and dedicated person with very positive attitude towards training and working. Thank you for dedicating your time to us to feel more comfortable in learning python.

Shikhar Agarwal

I had the opportunity to work closely with Rahul on a BI project for a US based retail chain. Right from initial interaction with him, I was impressed with his in depth understanding of business analytics principles, keen sense of ownership and excellent communication skills. His ability to review and assess raw data to start building hypothesis for insights and creating BI models to draw information was recognized by the client through multiple awards. If given the chance, I would love to work with Rahul and his team in the future.

Mayur Korde

It was a very nice and quality experience to learn data science with The Scholar . The course is well designed and our trainer was experienced and good at presenting the concept clearly by presenting the real time examples. The course content is also a well designed for new learners who want to explore more in big data. Therefore , I would recommend The Scholar.

Krishna Nath

Rahul is an excellent instructor, educator. I took Python Programming Certification Course from him. He has very deep understanding on Python, Data Science and related subjects. I am a beginner in this field. I was a bit nervous before starting this course. However, his teaching style made things very easy to follow and learn. I am really very happy to get him as my educator. In each lesson, he puts extra effort to reach every student. I was very impressed by Rahul's ability to teach in such an amazing way. Thanks a lot Rahul.

Swadesh Das

I was into non technical background and looking to change the career into Data Science. I have attended Data science course conducted by The Scholar. The course was very informative, and the mentor's concepts on Data science are very clear which made the sessions simple and very interactive . I would highly recommend whom so ever wants to pursue his/her carrier in Data science/Analytics they should consult The Scholar And the efforts from The Scholar placement team I got placed in one of the big firms as a Machine Learning Engineer.

Shimelis Kitancho

The Scholar is a Data Science Experts : They are an excellent teacher, guide, expert, or master in the field.

Aastha Chandok

I was always keen to know what Data Science is in this world of big data. Rahul Sir is a great teacher and mentor. He helped me alot in having a clear vision of what Data Science is. It is always fun analyzing and solving business problems with the guidance of Rahul sir. He has an immense knowledge in Data Science field. I would recommend him for Data Science course.

Harpreet Singh

I have attended Data science course conducted by The Scholar (Rahul) . The course was very informative, His concepts on Data science are very clear which made the sessions simple and very interactive . I would highly recommend whom so ever wants to pursue his/her carrier in Data science/Analytics they should consult The Scholar (Rahul).

Kushal Pawar

It gives me an immense pleasure to express my sincere gratitude to Rahul , for widening my knowledge acumen in Data visualisation. If somebody is seeking for any assistance in Data science, Rahul is one stop solution. His way of elucidating data science concepts is un -parallel. I was privileged enough to be groomed by an accomplished person like him.

Preetika Sindhwani

Rahul Tiwari has in-depth knowledge about the tools he's been using and teaching and the best part is, he is always updated about the new features and updates which comes along with the every new version of these tools and he keeps sharing them even after the course is completed. Conceptual knowledge, analytical thinking and Hands-on on the tool, I believe perfect blend to be a business Analyst and I'm glad that he's been my mentor. I highly recommend him to all Machine learning aspirers.

Shubham Puri

Its real life experience to learn Data Science, Tableau, Python with The Scholar. The teaching standards and content quality is really amazing with real time use cases. Also I got an opportunity to work on real time live projects. The placement support from The Scholar was amazing and as a fresher I got placed in Infosys. I was really fortunate that I got assistance from The Scholar.

Ashwini K

I have attended Data Science for Beginners in The Scholar, as a person coming from a different background, it was difficult for me to understand many concepts in Machine learning. That course with The Scholar helped me to make a foundation in data science. The beautiful part of the course was the mentor's availability to answer our questions, the process is still continuing till today. I would recommend everyone to attend the Data Science programs by The Scholar for real time industry experience.

Rabindra Sah

Interacted very closely with Rahul & attended his sessions at The Scholar . He is very strong on Python, Maths, data science & Machine Learning. Very strong fundamentals and nice way to understand business problem and recommending/predicting business solution. I learnt many aspects from him. Thanks Rahul and his Company The Scholar and best wishes ahead in this field.

Mahima K

Rahul has played a major role in my journey of learning data science. His approach towards teaching makes it very conducive for the students to quickly understand the complex concepts. Interactive sessions adds more to his glory! He goes to any extent to ensure that we understand the topics and are able to apply them.

Umang Pandya

One thing is for sure that Rahul's Transfer of skills as per his best knowledge is to keep things simple and igniting to his students at the same time. Complex theories explained easily. I am glad that I was mentored by him. His knowledge and explanations as a Data Scientist and mentor is immensely awesome. I wanna say if my current knowledge in Data Science would be counted in numbers before and after mentored by Rahul, then "My knowledge is now Statistically significant to Data Science"

Dinkar Ji

Rahul was my instructor for data science learning using python. His command over the subject is outstanding and he makes sure he is able to impart his knowledge to the students in the best way possible. He is very interactive in his sessions which makes learning very interesting, especially where he uses real life examples to explain complex concepts. I am able to kickstart my data science journey under his guidance and hope to learn more from him in future.

Sanjay Yadav

I personally recommend data scientists or BI enthusiast to for this course. Rahul is very good at explaining each and every topic with so ease that learning becomes fun.

Anamika Pandey

The mentors at The Scholar have been exemplary and visionary mentors, great educators who guided me on my journey of understanding Visualization based performance monitoring dashboards and on Data Science. I am so honored to have The Scholar team as my mentor and sincerely thank them for their understanding and thoughtfulness over the years.

Sandeep Malik

Rahul is a Fabulous Trainer. I have learned a lot from Rahul and must say that he is a very Sincere, honest and a very Hardworking Trainer also his knowledge in Data Science is Awesome. I can say that because of him only I feel confident and very comfortable in Python for Data Science now. Thank you so Much Rahul and I wish him all the best. keep rocking.

Geetika Puri

I rarely come across real talents who stand out like Rahul. I had the pleasure of working with Rahul on Machine Learning algorithm specifically. Rahul's ability to handle multiple projects was unlike any I've seen before and made a dramatic increase in the productivity level. As a leader, Rahul earns my highest recommendation.

Vishal Lote

The Scholar is a great platform where the mentors have a lot of knowledge in data science field. I started my data science journey with the guidance of The Scholar. They taught me how to solve the technical question and solve it.

Anamika Mishra

If data Analysis in your mind, no need to go anywhere else, join The scholar, it is fine if you are not from Technical background or data background like me. They can clear all your doubts from scratch without getting irritated and will help you to get certified in same. They are so clear with the concepts and you can ask real time examples if you come across. They are highly recommended.

Akanchha Yadav

Rahul way of instructing is very good and easy to understand for all. I learnt tableau under him and I must say he has the ability to express complicated and technical information clearly and concisely. He has ample of patience in making people understand the basics. I can recommend Rahul as a person with great skills and deep experience of solutions.

Abhineet Saxena

Rahul is a great mentor. His style of teaching is absolutely great. He is very strong in Python from data Science area and has a very clear understanding of basics. I would recommend him to the people who are willing to learn Data Science concepts along with Python scripting.

Samira Gholizadeh

Rahul is an amazing educator. After passing many courses about data science and python , I finally found my confidence when Rahul was my instructor. His powerful personality, skills and motivational speaking and consulting led me to continue my learning with more confidence and enthusiasm. Rahul is very hard working and dedicated person with very positive attitude towards training and working. Thank you for dedicating your time to us to feel more comfortable in learning python.

Shikhar Agarwal

I had the opportunity to work closely with Rahul on a BI project for a US based retail chain. Right from initial interaction with him, I was impressed with his in depth understanding of business analytics principles, keen sense of ownership and excellent communication skills. His ability to review and assess raw data to start building hypothesis for insights and creating BI models to draw information was recognized by the client through multiple awards. If given the chance, I would love to work with Rahul and his team in the future.

Mayur Korde

It was a very nice and quality experience to learn data science with The Scholar . The course is well designed and our trainer was experienced and good at presenting the concept clearly by presenting the real time examples. The course content is also a well designed for new learners who want to explore more in big data. Therefore , I would recommend The Scholar.

Krishna Nath

Rahul is an excellent instructor, educator. I took Python Programming Certification Course from him. He has very deep understanding on Python, Data Science and related subjects. I am a beginner in this field. I was a bit nervous before starting this course. However, his teaching style made things very easy to follow and learn. I am really very happy to get him as my educator. In each lesson, he puts extra effort to reach every student. I was very impressed by Rahul's ability to teach in such an amazing way. Thanks a lot Rahul.

Swadesh Das

I was into non technical background and looking to change the career into Data Science. I have attended Data science course conducted by The Scholar. The course was very informative, and the mentor's concepts on Data science are very clear which made the sessions simple and very interactive . I would highly recommend whom so ever wants to pursue his/her carrier in Data science/Analytics they should consult The Scholar And the efforts from The Scholar placement team I got placed in one of the big firms as a Machine Learning Engineer.

Shimelis Kitancho

The Scholar is a Data Science Experts : They are an excellent teacher, guide, expert, or master in the field.

Aastha Chandok

I was always keen to know what Data Science is in this world of big data. Rahul Sir is a great teacher and mentor. He helped me alot in having a clear vision of what Data Science is. It is always fun analyzing and solving business problems with the guidance of Rahul sir. He has an immense knowledge in Data Science field. I would recommend him for Data Science course.

Harpreet Singh

I have attended Data science course conducted by The Scholar (Rahul) . The course was very informative, His concepts on Data science are very clear which made the sessions simple and very interactive . I would highly recommend whom so ever wants to pursue his/her carrier in Data science/Analytics they should consult The Scholar (Rahul).

Kushal Pawar

It gives me an immense pleasure to express my sincere gratitude to Rahul , for widening my knowledge acumen in Data visualisation. If somebody is seeking for any assistance in Data science, Rahul is one stop solution. His way of elucidating data science concepts is un -parallel. I was privileged enough to be groomed by an accomplished person like him.

Preetika Sindhwani

Rahul Tiwari has in-depth knowledge about the tools he's been using and teaching and the best part is, he is always updated about the new features and updates which comes along with the every new version of these tools and he keeps sharing them even after the course is completed. Conceptual knowledge, analytical thinking and Hands-on on the tool, I believe perfect blend to be a business Analyst and I'm glad that he's been my mentor. I highly recommend him to all Machine learning aspirers.

Shubham Puri

Its real life experience to learn Data Science, Tableau, Python with The Scholar. The teaching standards and content quality is really amazing with real time use cases. Also I got an opportunity to work on real time live projects. The placement support from The Scholar was amazing and as a fresher I got placed in Infosys. I was really fortunate that I got assistance from The Scholar.

Ashwini K

I have attended Data Science for Beginners in The Scholar, as a person coming from a different background, it was difficult for me to understand many concepts in Machine learning. That course with The Scholar helped me to make a foundation in data science. The beautiful part of the course was the mentor's availability to answer our questions, the process is still continuing till today. I would recommend everyone to attend the Data Science programs by The Scholar for real time industry experience.

Rabindra Sah

Interacted very closely with Rahul & attended his sessions at The Scholar . He is very strong on Python, Maths, data science & Machine Learning. Very strong fundamentals and nice way to understand business problem and recommending/predicting business solution. I learnt many aspects from him. Thanks Rahul and his Company The Scholar and best wishes ahead in this field.

Mahima K

Rahul has played a major role in my journey of learning data science. His approach towards teaching makes it very conducive for the students to quickly understand the complex concepts. Interactive sessions adds more to his glory! He goes to any extent to ensure that we understand the topics and are able to apply them.

Umang Pandya

One thing is for sure that Rahul's Transfer of skills as per his best knowledge is to keep things simple and igniting to his students at the same time. Complex theories explained easily. I am glad that I was mentored by him. His knowledge and explanations as a Data Scientist and mentor is immensely awesome. I wanna say if my current knowledge in Data Science would be counted in numbers before and after mentored by Rahul, then "My knowledge is now Statistically significant to Data Science"

Dinkar Ji

Rahul was my instructor for data science learning using python. His command over the subject is outstanding and he makes sure he is able to impart his knowledge to the students in the best way possible. He is very interactive in his sessions which makes learning very interesting, especially where he uses real life examples to explain complex concepts. I am able to kickstart my data science journey under his guidance and hope to learn more from him in future.

Sanjay Yadav

I personally recommend data scientists or BI enthusiast to for this course. Rahul is very good at explaining each and every topic with so ease that learning becomes fun.

Anamika Pandey

The mentors at The Scholar have been exemplary and visionary mentors, great educators who guided me on my journey of understanding Visualization based performance monitoring dashboards and on Data Science. I am so honored to have The Scholar team as my mentor and sincerely thank them for their understanding and thoughtfulness over the years.

Sandeep Malik

Rahul is a Fabulous Trainer. I have learned a lot from Rahul and must say that he is a very Sincere, honest and a very Hardworking Trainer also his knowledge in Data Science is Awesome. I can say that because of him only I feel confident and very comfortable in Python for Data Science now. Thank you so Much Rahul and I wish him all the best. keep rocking.

Geetika Puri

I rarely come across real talents who stand out like Rahul. I had the pleasure of working with Rahul on Machine Learning algorithm specifically. Rahul's ability to handle multiple projects was unlike any I've seen before and made a dramatic increase in the productivity level. As a leader, Rahul earns my highest recommendation.

Vishal Lote

The Scholar is a great platform where the mentors have a lot of knowledge in data science field. I started my data science journey with the guidance of The Scholar. They taught me how to solve the technical question and solve it.

Anamika Mishra

If data Analysis in your mind, no need to go anywhere else, join The scholar, it is fine if you are not from Technical background or data background like me. They can clear all your doubts from scratch without getting irritated and will help you to get certified in same. They are so clear with the concepts and you can ask real time examples if you come across. They are highly recommended.

About the institute

The Scholar

    Placement

    • 100% placement to all the learners who successfully completed the program

    Mentors

    • Highly experienced industry mentors

    Salary

    • Average salary for the is Rs. 9.25 Lakhs per annum
    • Highest salary of Rs. 28 Lakhs per annum 
    • Multiple offer letters for all our successful candidates

    Projects

    • Real time industry case studies with end to end implementation
    • Multiple assignments for revision 
    • Regular evaluations to get the understanding of the progress of the learners
    • Connect with The Scholar Alumini for network building
    • Sessions by Industry leaders 
    • Industry Specific resume building
    • Effective usage of LinkedIn
    • Portfolio building with Github


Embark on a journey of success with the fastest growing Ed-tech platform where we provide comprehensive training in most demanding Technologies/ Tools like Data Analytics, Data Science, Cyber Security, Data Engineering, Salesforce and many more. Each of our training programs is curated wisely with the help of best industry practitioners, keeping latest industry trends and certifications structure in our mind.

Our training programs are highly Industry-focused help you to clear the interviews in first/second attempt mostly and get round-the-clock support, and 100% Placement Assistance by our expert team.

As one of the renowned Ed-tech platform, we not only help you to acquire the required skills but also help you to build an impressive RESUME and LinkedIn profile that is difficult to reject by recruiters, and get interview tips for getting selected quickly at HUGE salaries.

So, take you first step towards the success and enroll for best training course, PG programs, global certifications, right away and get recognized among the crowd.

Start Your Application


  • I have read the details and eligibility criteria for admission to the program, that I am applying for.

  • I understand that my application shall be considered complete only when the Application fee along with required documents are received by IIM Rohtak and all mandatory fields in the application form are completed.

  • I understand that merely submitting the application form and fee, does not entitle me for the admission to the Diploma programme The admission is purely on the basis of my profile scoring, qualification and further evaluation by the Institute.

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Down Payment for Course is 8000 + 18% GST
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