Why Are We Making this for FREE
In the last 4 years GreyAtom has helped more than 60,000 professionals upskill themselves. We understand what is it that is required for any professional to transform themselves in to a Data Scientist. People often struggle to leverage their existing experience and fear starting from the bottom all over again. This is not the case. This pack will help you understand the different opportunities you have and how to make the most of them!
Who is this for...
- Tech Managers
- 10+yrs of experience
What you will get...
There are lots of material available for FREE. However what most learners lack is structured learning with mentors. This pack is specially designed for students aspiring to become a successful Data Scientist. It covers all modules of Data Science and a complete course on career preparation in Data Science.
5 Data Science Courses
15 Exclusive Webinars
3 Data Science Ebooks
Python for Data Science
123 Assignments - 4 Project - 16 quizzes. Platform Access. Get ready on Python. With Certificate. Do this for 30 minutes for 30 days. You will be ready for Data Science projects
Data Science Machine Learning Series
17.5 hours of Video Lectures delivered by Industry Practitioners - IIT-B Alumni. Actual session as per prescribed sequence. Edited. Enhanced for self paced learning
26 Weeks of Data Science
Get 26 Jupyter Notebooks delivered in your inbox - Delivered 1 per week. Book Recommendations. Bonus material. Weekly quizzes. Beginner friendly.
10 Day Data Science Bootcamp
10 Day Online Mentor Led Data Science Bootcamp. Attend 10 training sessions with mentors who are Data Scientists in the industry. No Coding Experience Required!
Data Science Career Prep Bootcamp
Learn how to crack the Data Science interview and land in your dream job.
Data Science Hiring Post Covid
Key Takeaways: * Effects of COVID-19 across industries * How can Data Science help * How long will it be in bloom * How can I make a transition
Key Factors to Get Through In Data Science Hiring
Key Takeaways: * How do people hire for a Data Scientist role * How to get noticed by recruiters * Who is getting placed
How To Make A Career Transition In Data Science
Key Takeaways: * What is Data Science? * What the market wants? * How to switch careers?
Data Science at LinkedIn
Key Takeaways: * Transition from Academics to Business * Importance of Story telling * How to get started * Data Science function
How to build Machine Learning Models using Logistic Regression
Key Takeaways: * Understand data extraction, exploration and visualization * Learn how to prepare data for ML algorithms
Decision Trees in Machine Learning and its applications
Key Takeaways: * Learn the intuition behind a decision tree * Understand the concept of overfitting * Understand the concept of Ensemble methods
Clustering Algorithms in Machine Learning and its applications
Key Takeaways: * Clustering use cases * Types and working of different Clustering Algorithms
Use Cases of Random Forrest in Machine Learning
Key Takeaways: * Data Pre-processing * Feature Engineering * How to model using Linear Regression or Random Forests
Understanding Linear Regression In Machine Learning Easily
Key Takeaways: * Intuition behind Linear Regression * Implementation of Linear Regression using sklearn * Intuition behind Regularization and its implementation
A Simple Way To Build Your Own Language Model Using Nlp
Key Takeaways: * Understand the field of NLP and an introduction to language models * Different types of language models & Introduction to word embeddings
Introduction To Language Models And NLP
Key Takeaways: * Understand the field of NLP and an introduction to language models * Different types of language models & Introduction to word embeddings
Classifying Data Using Support Vector Machines (Svms) In Python
Key Takeaways: * Understand the intuition behind support vectors and SVM * Learn applications of SVM in ML * Understand the workings of SVM
Understanding Boosting
Key Takeaways: * Intuition behind Boosting * Working of Boosting Models * Understanding of different types of Boosting * Implementation of Boosting using Sklearn and XGBoost
Understanding Clustering
Key Takeaways: * Understanding of unsupervised learning methods * Working of Clustering methods * Understanding of unsupervised learning methods
Building Chatbot using Rasa Tech stack
Key Takeaways: * Understand what chatbots are and their industry use cases * Know the concept behind Natural Language Understanding (NLU)
Art Of Solving Business Problems- The Data Science Way
Data Science for business decision making.
Trupti Dhoble
Data Scientist at DSP Mutual Fund
Kick-start your high-growth career
Learn Data Science the complete way. Get FREE study materials, video lectures, live lectures, learning forums.
Who are the mentors
Industry Practitioners. Experienced. Have Depth. Love Teaching. Above all AMAZING HUMANS.
Manas Ranjan Kar
Data scientist at Episource
Rohit Ghosh
Director of BD at Qure.ai
Supriya Adep
Software engineer at Fractal
Prakash Vanapali
Sr. Data Scientist at Fractal
Shantanu Kumar
Head of AI Products at inFeedo
Vedant Dwivedi
Data Scientist at Jio
Bhavesh Bhatt
Data Scientist at Fractal Analytics
Parag Pansare
Associate Manager at Accenture
Schaun Wheeler
Sr. Data Scientist at Valassis Digital
Fatos Ismali
Data Solutions Architect at Microsoft
Arunabh Majumdar
Senior Data Scientist at Prudential
Avinash Ahuja
Machine Learning Engineer at Linkedin
Daniele Rosa
Data Scientist at OSRAM
Sidharth Ramachandran
Head of Data Science at Gfk
Hardik Gupta
Data Scientist at BookMyShow
Nikhil Akki
Data Scientist at Delloite