100% Job guarantee*
Exclusive 1:1 mentorship
Best for people starting or switching their career to Data Science
Portfolio development using project-based learning

Our alumni have been placed at

Average CTC
Market by 2026
Jobs by 2026

Tools you'll learn
in this program

100% Job guarantee

1. Complete your coursework

Solve real problems faced by top product companies and build Industry relevant projects for your portfolio.

2. Get job-ready with 1:1 mentorship

Receive personalized help on LinkedIn-GitHub profile optimization, interview process, mock interviews and salary/offer negotiations.

3. Receive performance based referrals

Get referred for your next job via mentor & community at top product companies.

4. Ace your interview & get placed
into a Data Science role

Land your dream job & kickstart a profitable career in Data Science.

Our Mentors

Data Science experts who have worked
for global brands like
Santiago Viquez
Data Scientist
Mark Eltsefon
Data Scientist
Eeshan Tiwari
Data Science Manager
Dipanjan Sarkar
Developer Expert-Machine Learning
Huzail Ssemakula
Tech Recruiter
Sara Malvar
Sr. Software Dev Engineer
Christina Gurguta
Senior Data Scientist
Manash Jyoti Das
Director, Machine Learning

Here’s what you’ll
learn in the program

300+ learning hours
Module 1
Introduction to Data
Science and Data Analysis
We introduce you to basic data science frameworks and analysis techniques with the help of real-life case studies.
Module 2
Data Analysis and
Visualization using Excel
We train you to use Excel for visualizing & analyzing heavy data sets via data modeling & dashboarding.
Module 3
Mastering SQL Databases
We skill you in using SQL databases & operations to quickly identify essential data and extract valuable information for efficient problem-solving.
Module 4
Python Fundamentals, Data Cleaning and Preprocessing
We explore the fundamentals of Python, learn how machine learning libraries such as Pandas, NumPy & SciPy can be used to easily represent data and then proceed to understanding the virtues of Exploratory Data Analysis as a technique to visualize and analyze data effortlessly.
Module 5
Data Visualization using PowerBi
We deep-dive into PowerBi, an end-to-end data analytics platform which allows you to seamlessly make sense of big data to gain scientific insights.
Module 6
Statistical Inference
We bring you up to speed with statistical analysis techniques which help you describe and interpret variable data. You also learn how to test your findings after data interpretation using Hypothesis testing & A/B split tests.
Module 7
Fundamentals of Machine Learning
We familiarize you with industry-standard supervised & unsupervised machine learning algorithms like Linear Regression, Logistic Regression, Tree-based, Gradient boosted etc to gain greater accuracy while processing data.
Module 8
Deep Learning & Recommender Systems
We show you how deep learning can be used to create recommendation systems for intelligent data prediction to build appealing products & services for profit.
Module 9
End-to-End Model Management
We give you a runthrough of machine learning model management tools to help you enable collaboration & minimize dependencies when starting work in a Data Science team.
Module 10
Portfolio Preparation & Capstone Project
Test your learnings with projects which require you to apply the skills you’ve acquired & get trained to solve real-world problems commonly faced in Data Science roles. Use these projects to create a kickass portfolio that makes you job-ready.
Download Brochure


We help you build business application based projects relevant to the problems faced by top product companies
Heart Disease Detection 

Given a list of factors and conditions, we will discover if a prospective patient is susceptible to heart disease. This information will be used to plan awareness campaigns and health camps.

Pricing Analytics for an Ecommerce Major

We will analyze the pricing patterns for various products of an ecommerce major and submit analytics to the upper management to take business calls.

Stock Data Analytics

Access the various data of stocks by accessing an API and do basic analytics on the data to take some informed decisions for a stock broking firm.

Airbnb Pricing Prediction

A company like Airbnb is analyzing the rental data over a particular year and solve some key business problems for different stakeholders.

and many more...

Certify your learning

Learners who successfully complete our program with content and coursework
will receive a GrowthSchool certificate as proof of their learning!

What our Happy Learners are saying..

Kristen Colley
Talent Manager
Dipanjan is an incredible mentor and teacher. He’s one of the main reasons I persevered in my studies and got into the field. He never failed to answer any question I asked and always provided enough information to steer my critical thinking. I feel lucky that he was my mentor when starting in data science and would love to take more future classes from him.
Shane McCallum
Data Scientist | Machine Learning & AI Enthusiast
Without Dipanjan, I would not be where I am today. His mentorship, encouragement, and reassurance helped me buckle down and persevere in my career change into Data Science. I would greatly accept any opportunity to work with him again.
Jitendra Agarwal
Staff Technical Program Manager
Dipanjan was my mentor when I was upskilling in the areas of Data Science. DJ's in-depth knowledge of the field and his ability to not just explain the technical content but also their industry relevance was incredibly helpful. Given his experience in areas pertaining to data science, machine learning as well as his passion for sharing his knowledge with the community, I would definitely be happy to collaborate and learn from him anytime.

Program Fee

Complete your course to get 100% Job guarantee
Get the program without the Job guarantee at a discount
with job
without job
Program Fee
Live Sessions
Course Content
Capstone Project
Placement Assistance
Mock Interview
1:1 Mentorship
Job Guarantee

Frequently asked questions

Are there any prerequisites for this program?
This program does not have any formal prerequisites. Just bring yourself and your hunger to learn!
When do the live group calls & guest sessions happen?
The live group calls will be held every Weekend. The entire program schedule will be communicated during the onboarding call and with regular Email, discord and whatsapp communication.
What if I can’t make the live sessions?
GrowthSchool Data Science Program is designed to work with your schedule. We strongly encourage you to attend the Live Kickoff call and other live calls, but none of these are compulsory. You can always watch the session recordings and participate in discussions or leave your feedback on our community forum.

The major thing you miss out on when absent are the “Breakout Rooms”, where fellow industry insiders share feedback & engage in discussions in limited-size Zoom rooms.

Attending the live sessions is mandatory to qualify for the placement guarantee.
How much access do I get to the mentors?
We can’t promise that our mentors will reply to every single message, but they’ll be active during the live sessions and answer any doubts/queries you raise then. You can also approach them for feedback during this time.
How much time can I expect to spend on the program each week?
At least 5-6 hours per week, for the 26 weeks of the program.
What’s included with the program?
With your tuition, you’ll have lifetime access to all the pre-study material, recordings of the live cohort sessions, guest sessions, and a private online community where you can interact with your batchmates and exclusive 1 on 1 mentorship with the mentors. You’ll retain access to the program materials and community indefinitely after the program ends.
When will I get my GrowthSchool Certificate?
Individuals who successfully complete their 80% course work i.e. cover all learning modules & project submissions, are eligible to receive a Certificate of Completion from GrowthSchool vouching for their participation in the course.
What are the payment options available to me?
You can pay for the course upfront or opt for a three-month EMI.
When am I eligible for a refund?
In case you are unable to secure a job with our help despite completing the coursework, the full course fee will be refunded to you post 6 months of course completion. T&C apply
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