Learning path

Change the traditional approach to learning Data Analyst. Instead of spending months on maths and theory, focus on projects, practical skills and tech that in in-demand

Key Features

DataisGood gives you a platform that will leave no stone unturned in our bid to make you a Rockstar Data Scientist. We have meticulously planned your journey for a promising and fulfilling Data Science career ahead.


100+ Hours of Instructor-Led Training


200+ Hours of Self Paced Training


500+ Exercises and Assessments


Dedicated Career Coach


Professional Certification Programme


24/7 Support


World-class faculty from top academic centres and corporates across Europe and USA.

Nilesh Sukalikar

Technical Lead at Union Data (Full-Stack)

Nikhil Garg

Leading Data Science, ML & Finance Instructor

Dipti Tandon

Co-Founder | AI Matchmaking for Business

Vidit Aggarwal

Analytics Manager at Compass Group

Course Curriculum

We brought together some of the of best data analysts, AI and ML entrepreneurs, Kaggle grand masters to create Industry best courses and projects for you to build a 🤘 ROCKSTAR Data Analyst in you.


Course 1

✔ Learn Basic formatting, and different Data Types in Excel.

✔ Learn Analytical and Aggregate Functions in Excel.

✔ Learn Text, Logical, and Statistical Functions in Excel.

Course 2

✔ Learn about Data Cleaning and Preparation Functions.

✔ Learn to make Pivot Tables and Pivot Charts in Excel.

✔ Learn Data Visualizations and Dashboarding in Excel.

Course 3

✔ Learn about Variables, Data Types, and Operators in Python.

✔ Manipulate Python strings using In-built functions.

✔ Understand the Concept of Loops and Conditionals.

Course 4

✔ Learn Data Structures for solving complex problems.

✔ Learn about Lists, Tuples, Dictionaries, Sets, Stacks and Queues.

✔ Learn Sorting, and Searching Algorithms.

Course 5

✔ Learn about Parameters and different Types of Arguments in a Function.

✔ Learn about Comprehensions and  Anonymous Functions.

✔ Learn about OOPs Concepts.

Course 6

✔ Learn about Date and Times and Regular Expressions.

✔ Learn Numpy for Complex Mathematical Operations.

✔ Learn Pandas in depth for Data Frame Manipulation.

Course 7

✔ Learn to analyze the Target Data using the Dabl library.

✔ Learn Pandas Profiling for analyzing the whole data at once.

✔ Learn about the Sweet Viz for Comparing Datasets.

Course 8

✔ Learn Bayes Theorem, Basic and Conditional Probabilities.

✔ Learn Normal Distributions, Skewness, and QQ Plots.

✔ Learn Central Limit theorem, and Confidence Intervals.

Course 9

✔ Learn the Types of Error in Hypothesis Testing.

✔ Learn to implement t-Test, z-Test and their types.

✔ Learn ANOVA, Chi squared Goodness Tests, and  Chi square Test of Independence.


Course 10

✔ Learn to Handle Missing values in a Real-world Scenario.

✔ Learn to Handle Outliers in a Real-world Scenario.

✔ Learn Data Manipulation Functions for Cleaning the Data.

Course 11

✔ Learn Univariate, Bivariate and Multivariate Analysis.

✔ Learn Animated and Interactive Data Visualizations.

✔ Plot Charts used in Finance, Marketing etc.

Course 12

✔ Perform Grouping Operations and Filtering Operations.

✔ Perform Interactive Query Analysis using Ipy Widgets.

✔ Learn Cross Tabulation using Cross Tabs.

Course 13

✔ Learn to Extract Features from Dates and Times.

✔ Learn to Extract Features from Numerical Data and Categorical Data.

✔ Learn Advanced Functions to Extract New Features from the Data.

Course 14

✔ Learn advanced Data Transformations Techniques.

✔ Learn Encoding Techniques to deal with Categorical Data.

✔ Learn Cross Validation Techniques.

Course 15

✔ Learn Techniques used for Treating Dimensionality.

✔ Implement Correlation Filtering, VIF, and Feature Selection.

✔ Implement PCA, LDA, and t-SNE for Dimensionality Reduction.


Course 16

✔ Understand the Working of Linear Regression algorithm.

✔ Implement Linear Regression with RFECV and Cross Validation.

✔ Learn Evaluation Metrics used for Linear Regression.

Course 17

✔ Understand the Working of Logistic Regression.

✔ Implement the Logistic Regression Algorithm with RFECV and Grid Search technique.

✔ Learn Evaluation Metrics used for Logistic Regression.

Course 18

✔ Understand the Working of K Means, Hierarchical, and DBSCAN Clustering.

✔ Implement K Means, Hierarchical, and DBSCAN  Clustering using Sklearn.

✔ Learn Evaluation Metrics for Clustering Analysis.

Course 19

✔ Learn about SELECT, and WHERE Statements.

✔ Learn to use Logical Operators and aggregate Functions.

✔ Learn to use Order By and Group By Clauses.

Course 20

✔ Learn to create a Databases, and Tables with proper validations and Constraints.

✔ Learn different types of Joins in SQL.

✔ Learn to Handle Complex Queries using Sub Queries in SQL. 

Course 21

✔ Work on Big Datasets using Google Cloud Platform and Big query.

✔ Perform Data Visualizations on Big Data using Google Data Studio.

✔ Perform Big Data Analysis using Google’s Big Query Engine.

Course 22

✔ Learn Basics of Data Visualizations using Tableau.

✔ Learn Advanced Tips and Techniques for creating Charts.

✔ Learn about Formatting Pane, Styling, Customizing tooltip and mark labels, etc.

Course 23

✔ Learn to Handle and Manage the data using Tableau.

✔ Learn Joins, Blending, Sorting, Hierarchies, and Data Filters.

✔ Learn Mapping, Dashboarding and Story Boarding.

Course 24

✔ Learn Table calculations and Conditional Highlighting in Tableau.

✔ Perform Feature Engineering and Data Cleaning.

✔ Perform LOD Expressions using Tableau.

Success Stories

Meet some of our Extremely Talented and Hardworking Alumnis at DataisGood Career Transition Programs who achieved their Dream Jobs as a Data Scientist and Data Analyst in some of the Most Reputed MNCs and Startups.

Aarti Bisht

Data Analyst at Dhruv Research
Background: Content Manager
Education: MSc Maths

Data Scientist at Data Is Good
Background: Fresher
Education: B.Sc

Sarfaraz Ahmed

Software Developer at Betaout India
Background: Fresher
Education: B.Tech CSE

Prakash Narasanagi

Data Scientist at InViz AI
Background: Fresher
Education: B.Tech CSE

Our learners work at


We are on a mission to create Data Science courses that will make our students not just learn the subject, but fall in ❤️ love with that subject so that they become lifelong passionate learners and explorers of that subject.

Office Location

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