26 Weekly emailers for Data Science Aspirants from every corner of the world.
The 26 Weeks of Data Science is a study plan, covering everything from basics of Data Science to core concepts, to its applications.
This study plan will not only help you learn data science methodically but also help you create a social profile in Data Science communities. In the next 26 weeks, you will work on multiple projects, build a strong Data Science portfolio, have a strong network of Data Science Professionals.
The only free study plan with Career Resources
You will get access to the resources created by our experienced career resources team that can help you optimize and amplify your professional presence and help you draw more eyeballs.
- Resume Building: Optimize your resume to match job filters for data science positions.
- LinkedIn Presence: Learn clever hacks to improve the visibility of your LinkedIn profile and get noticed by employers.
- Interview Questions: Find out how to answer critical interview questions that make or break the deal.
I don't think there's a more exciting field to be in than data science, and that's partly because to be a successful data scientist you have to always be learning. GreyAtom helps you learn more than just the foundations of analytics and machine learning. It helps you become a better learner and that's a skill that will reward you for the rest of your life.
— Paul Meinshausen, Mentor @ GreyAtom
26 Weeks is a Remote Career Development for Beginners
A lot of people want to learn Data Science but lack proper guidance. It becomes hard to evaluate what to learn when to learn. Hence there is a huge drop rate in the motivation after 2-3 weeks.
To help learners get a clearer picture of what they are learning and keeping them motivated throughout their journey, we built 26 Weeks of Data Science. Here’s how this study plan will add true value to its learners:
- Structured Study Plan. You’ll receive an optimized learning plan designed by our Leaders from GreyAtom, DataGiri and more.
- Access to GLabs. Apart from the in-detail notebooks and resources, you will get access to all free courses on GreyAtom’s Learning Platform - GLabs (Coming soon)
- Additional Resources. What’s learning without a little fun. You will get hand-picked videos, book recommendation, career guidance, motivational tips, access to your local Data Science community and much more.
Meet Your Program Hosts
Head Program & Academics
Shweta is the co-founder and the Head of Program at GreyAtom. She has previously worked as an Associate Director at Nielsen.
She is the organizer of the popular Data Science Meetup in Mumbai - "DATAGIRI" which has close to 100,000+ members. Her in-depth knowledge of Data Science and her extensive experience of dealing and understanding data scientists has made her an invaluable Data Science Leader.
Head Industry Relations
Mitul is the co-founder at GreyAtom and has previously founded Customer360 which got acquired by NASDAQ: ININ in 2015.
He has a very broad experience spectrum. From working in the Silicon Valley to founding a company that got acquired by NASDAQ: ININ, Mitul has done it all. He mentors at multiple Accelerators and is a personal mentor to a handful of entrepreneurs too.
Chief Academic Counsellor
Mayuresh is the co-founder at GreyAtom and has previously founded Customer360 which got acquired by NASDAQ: ININ in 2015.
He's an alumnus of the prestigious Indian Institute of Technology(Madras), is a turnaround specialist and go-to-man at GreyAtom - A complete T-shaped professional. His strengths lie in Data Science, Analytics, Machine Learning, Natural Language Processing.
GreyAtom has built an ecosystem in Data Science consisting of Leaders, Professionals, Aspirants and Enthusiasts. We have partnered with more than 300+ successful companies across India. Some of the companies are listed below:
AI Researcher @ Qure.ai
Data Science Lead @ Reliance Industries
IT Consultant & Trainer
Machine Learning Engineer @ Juxt Smart Mandate
Big Data - Hadoop Trainer
Data Scientist & Kaggle competitions expert
AI Engineer @ Qure.ai
Senior Data Scientist @ Vistaar Technologies
Data Science Lead @ Collinson Group
Machine Learning Engineer @ difference-engine.ai
Founder and Data Scientist @ InDemys Analytics
Data Analytics & Visualisation
Data Scientist @ Confidential
Founder @ TwoBeards
VP Engineering @ Acko Insurance
Senior Data Scientist @ eClex
PhD scholar and Lecturer @ IIT Madras
Deputy General Manager @ Mahindra & Mahindra
AWS Cloud Architect (Assoc Manager) @ Accenture
Data Engineer @ Episource LLC
Manas Ranjan Kar
Associate Vice President @ Episource LLC
Senior Software Engineer @ Paycraft
Data Scientist @ Fractal Analytics
Soudip R Chowdhury
Principal Data Scientist @ Fractal Analytics
Senior Data Scientist, Supercrunch by GfK
Senior Engineer -Deep Learning @ Fractal Analytics
Data Scientist @ FlexiLoans
Research Software Engineer @ University of Auckland
The best part about teaching at GreyAtom is the commitment that the team has towards making sure their students succeed. And that not only makes the experience a lot more satisfying but also motivates you as a teacher to level up.
— Deepak Angrula, Instructor @ GreyAtom
What the 26 Weeks Offers
Just by reading a couple of books and clearing theory based exams you will not gain industry grade skills. You need to find the complete package. 26 Weeks of Data Science will provide weekly notebooks, videos, cheatsheets, Projects and more.
When you join the 26 Weeks of Data Science Study Material you get access to:
GreyAtom has an innovative learning platform which has reduced the learning time massively. Practical hands-on learning experience is given to students by letting them work on real data sets from day one. This novel concept grooms the student and prepares him to make a mark in the growing industry of Data Science.
26 Weeks of Data Science Study Plan delivers outcomes
By the end of the study material, you would have:
- Pinpointed study material
- Tell you “Why” you should be going through it
- Help you understand your style of learning and customize your learning plan
- Early access to all free courses on GLabs
- 4 Projects that you should work on in the next 6 months
- 8 Career Resources to fine-tune your approach to market
- 26 Book Recommendations by Industry Practitioners
- 18 Motivational Tips (fortnightly) to keep you focused on your career transition
- 18 Real Career transition stories by real people
- 23 Counseling Videos to navigate your Data Science Journey
- Early access to the DataGiri Meetup and Local Events
- Practical tips on choosing the specialization in your area of interest
We were made to work on data sets from their industry partners. The instructors were professionals from the industry. I'll recommend GreyAtom to anyone for a great exposure to the industry and helpful mentors.
— Muhammad Mudassir Khan, Student @ GreyAtom
Our study plan is for beginners. You should subscribe if you have...
- Love Maths - Comfortable with Maths. At least don't hate maths. Openness to learn.
- Love Programming - Open to learning programming. If you are an active programmer - Super.
- Strong Initiative - The study material includes both passive and active participation. Those that not only consume the content but engage with it and the community will get the most value.
Outline of Study Plan
We've designed the 26 Weeks of Data Science Series so you can set your own schedule to work through the material week after week.
See below for a full study plan of the study plan.
PYTHON TOOLKIT FOR DATA SCIENCE
Week 1: Git Basics & Introduction to Python
Week 2: First Steps with Numpy
Week 3: Numpy Advanced & Pandas-An Introduction
Week 4: Pandas -Getting Deeper
Week 5: Building an intuition with Visualizations on Matplotlib/ Seaborn
FIRST STEPS WITH MACHINE LEARNING
Week 6: Statistics #01 - Descriptive
Week 7: Statistics #02 - Inferential
Week 8: Shaping data with Exploratory Data Analysis
Week 9: Linear Regression - Will a line suffice?
Week 10: Linear Regression - A Step advanced
Week 11: Data Preprocessing & Feature Engineering
Week 12: Feature Selection
PROBLEM-SOLVING WITH ML
Week 13: Logistic Regression
Week 14: Decision Trees
Week 15: Ensembling & Random Forest
Week 16: Gradient Boosting
Week 17: Challenges in Machine Learning
Week 18: Clustering / K-Means
ADVANCED MACHINE LEARNING
Week 19: Time Series - A Primer
Week 20: Feature Engineering for Time Series
Week 21: Natural Language Processing - Introduction
Week 22: Natural Language Processing - Intermediate
Week 23: Introduction to Recommender Systems
Week 24: Introduction to ChatBots
Week 25: Productionizing ML - Deployment on AWS
Week 26: Hackathon
Here are just a few reviews of the study plan from GreyAtom Alumni.
GreyAtom is a one-stop solution to a data science career. From hands-on learning to hackathons, they cover it all.
Loved their study plan. Awesome learning platform and very helpful interview prep. This kind of stuff should be taught in the universities.
Concepts have been explained nicely. A must for students who are keen in learning Data Science and taking it as a career option.
The curriculum is very well thought of and has a good flow. I really liked the 26 Weeks of Data Science study plan and will recommend it to anyone who wants to start their career in data science
Frequently Asked Questions
Will this study plan be worth it?
Good question — we know the 26 Weeks of Data Science is a serious study plan. So if you're looking for the becoming data scientist in quicktime, then the 26 Weeks Series won't be worth it.
However, if you're looking for study plan that you can apply directly, step-by-step seasoned guidance, relevant projects, suggested by data science leaders who spent years in the trenches AND monthly events where you can connect with actual data science practitioners... then yes, the 26 Weeks Series is worth the commitment.
How advanced is the material?
This study plan is fit for beginners.
Will this study plan help me become a Data Scientist?
For a highly motivated learner, this study plan can be an extremely valuable launch to a career in Data Science. From time to time, you will be receiving various career resources that can be used to build a strong portfolio.
How much does the study plan cost? Do you have discounts or scholarships?
Currently, it is FREE for the first 1000 applicants.
How actionable will the content be?
The content will provide actionable and analytical concepts for understanding Data Science and forming a comprehensive study plan. But there will be minimal “how to” content. Those can be found on many other great sites free of charge.
Know more about our Programs
GreyAtom provides Data Science Masters Program & Data Science Masters Program with Deep Learning based on classroom module where you can accelerate your Career in Data Science, ML and build expertise in Machine learning, Python, Big Data etc.