Our alumni work at these companies
How GreyAtom will help you build your Data Science career
——— Learn by doing ———
Robust curriculum with concepts, quizzes, assessments and much more on our learning platform.
——— Industry mentors ———
Interactive coding sessions from experts from the industry.
——— Projects, quizzes and cheatsheets ———
Prep for solving real-life problems with challenges and projects throughout the program.
——— Placement assistance ———
Dedicated career services team help you showcase your skills to employers.
——— Build a portfolio ———
Complete Data Science projects, and publish them to Github.
How it works
Learn concepts on GLabs
Interactive coding sessions with world-class mentors
Solve projects and build your portfolio
Over 2500 learners have transitioned to Data Science and now work in top companies.
"The path to me discovering Data Science was long and winding, but thanks to GreyAtom, the journey to becoming a Data Scientist was straightforward."
RM & Operations at Indian Odyssey Pvt. Ltd.
Sr. Associate - Data Science
"I wanted to transition from telecom to data science. Joining GreyAtom, learning from mentors and prep with the career services team made that happen."
Assistant Manager - Network
Assistant Manager - Data Analytics at Nearby Technologies
GreyAtom's curriculum, with the strong emphasis on learning by doing, has ensured our learners have achieved their outcomes. Hear the stories of success from the people living the careers of their dreams.
- Learner success video
Data Science toolkit
- Fundamentals of Python
- Introduction to Git
- Manipulating Data with Numpy
- Data Wrangling using Pandas
- Data Visualization with Matplotlib
Statistical Tools for Data Science
- Summarizing Data with Statistics
- Introduction to Probability
- Making inference from Data
Foundations of Machine Learning
- Make your first prediction with Linear Regression
- Optimizing linear regression models through Regularization
Supervised Machine Learning
- Solving Classification problem using Logistic Regression
- Building the right Decision Trees
Data Preparation for Machine Learning
- Exploratory Data Analysis
- Data Pre-processing Techniques
- Feature Selection Techniques
Practical Machine Learning
- Ensembling Techniques and Random Forest
- Gradient Boosting Machines
- Unsupervised Machine Learning - Clustering
Machine Learning in Production
- Challenges in ML
- Deployment of ML model
- From Business Problem to Data Science Problem
Natural Language Processing
- Introduction to Natural Language Processing
- Analysing Text Data using Sentiment Analysis
- Using RASA tech stack to develop Chatbot
Methods of Text Analytics
- Topic Modeling
- Language Models
- Parsing through Text Data
Resume and Profile-building
- Create Data Science resumes
- Publish projects to public profiles
Build public profiles
- Linkedin review
- Github profile review
- 1-on-1 personalised sessions
- Interview prep with mentors
- Solving business problems using Data Science
Projects and hackathons
Prepare for the industry by solving real problems through projects, hackathons and code-alongs. Build your portfolio as you proceed, and emerge with a complete showcase of your Data Science skills.