1500+
4.7+
100+
175+
How GreyAtom will ensure your Data Science outcome
——— Industry-relevant skills ———
Learn Data Science concepts that are actually used in the workplace to solve business problems.
——— Data Scientist mentors ———
Industry experts teach concepts and guide learner projects.
——— Problem-solving ———
Apply Data Science concepts to practical problems faced by the industry.
——— Career counselling ———
Get the career of your dreams with career workshops.
How you will learn
Online live mentor sessions, group study sessions, and offline networking sessions with top developers and thought leaders. Sessions are available in Mumbai, Bengaluru, and Hyderabad. More cities coming soon.
40+
135+
15+
Learner success stories
We have led many learners to successful outocmes as Data Scientists.
Nitika Goel
"Loved their program. Awesome learning platform and very helpful interview prep."
Before:
Programmer Analyst at Cognizant
After:
Data Scientist at MobiKwik
Bhavesh Bhatt
"Multiple capstone projects at GreyAtom have helped me develop my skills on Big Data and all other elements of Data Science."
Before:
Software Engineer at Cisco
After:
Data Scientist at FlexiLoans
Srishti Sawla
"It was an amazing experience to join GreyAtom - working with the peers, getting insights from the mentors and learning on an AI-powered platform, GLabs."
Before:
Corporate Support Manager at ICICI Lombard
After:
Data Scientist at DSP Mutual Fund
We have placed over 1500+ learners. Watch a few of our learners talk about their experience at GreyAtom.
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Learner success video
Curriculum
Module 1
Data Science toolkit
- Fundamentals of Python
- Introduction to Git
Module 2
Python Modules
- Manipulating Data with Numpy
- Data Wrangling using Pandas
- Data Visualization with Matplotlib
Module 3
Statistical Tools for Data Science
- Summarizing Data with Statistics
- Introduction to Probability
- Making inference from Data
Module 4
Foundations of Machine Learning
- Make your first prediction with Linear Regression
- Optimizing linear regression models through Regularization
Module 5
Supervised Machine Learning
- Solving Classification problem using Logistic Regression
- Building the right Decision Trees
Module 6
Data Preparation for Machine Learning
- Exploratory Data Analysis
- Data Pre-processing Techniques
- Feature Selection Techniques
Module 7
Practical Machine Learning
- Ensembling Techniques and Random Forest
- Gradient Boosting Machines
- Unsupervised Machine Learning - Clustering
Module 8
Machine Learning in Production
- Challenges in ML
- Deployment of ML model
- From Business Problem to Data Science Problem
Capstones
Projects & Capstones
- Solving business problems using Data Science
Solve industry problems
Data Science is being used to solve real business problems. With each new concept, you will apply it with realistic projects and solve problems.
Mutual Fund Returns
Perform predictive analysis like linear regression to predict additional return a mutual fund would give over different bonds.Telecom Churn Prediction
Use techniques like gradient boosting to predict the customer churn for a telecom company.Mars Crater Prediction
Be a virtual Mars explorer and predict from the pictures of the Mars surface if there is a crater or not.Built and mentored by industry experts, our emerging tech programs have been created to give you a solid foundation for high-growth careers.
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Watch video
Career guidance
——— Counselling workshops ———
Learn what to expect from the industry and how to fit into the workplace
——— Resume refactoring ———
Craft a compelling resume to showcase your tech skills in the best way possible
——— Portfolio building———
Build a portfolio with Data Science projects to stand out to recruiters
—— Professional networking ——
Develop the skills to create professional connections with peers and thought leaders in your chosen industry
Our alumni work at
Your passport to the Data Science career of your dreams
GreyAtom certifcates have unique and verifiable IDs that you can share with employers, family and friends.
Admission process
This program is ideal for learners from any background, but to succeed in it, you will need some coding expertise.
Application
Fill out a short form, so that we can track your application, and contact you for the admission process.
Personal interview
A counsellor will call to discuss program details and requirements with you.
Seat confirmation
Once you have received an admission offer, all you need to do is accept. You are then on your way to a Data Science career!
Program fees
Flexible payment options with EMI. Scholarships available for eligible candidates.
Internet banking
Credit/Debit cards
Cheque
EMI options available