… here is all that you will ever need ...
- 12 Months access to the whole Program
- 14 Sprints
- 24 Live Mentor Code Along Sessions
- 87 Hours of Mentor Training
- 2 Career Coaching Sessions - 1-on-1
- 4 Guided Hackathons
- 429 Assignments
- 83 Quizzes
- 16 Industry Projects
- 18 Cheat Sheets
- 18 Live Career Transition Session
- Unlimited Chat Support
- Priority Access to Webinars
- Verifiable Certificate on Completion
...our learners who are now Data Scientists...
We have thousands of success stories. These learners made a decision to choose GreyAtom, and they are reaping the rewards today. Yours could be the next success story.
Trupti Dhoble
"My aim was to boost my career. At the end of my GreyAtom program, I had two offers in hand."
Before:
System Engineer at L&T
After:
Data Scientist at DSP Mutual Fund
Jasraj Date
"GreyAtom really brought the industry into the sessions. I still use the same concepts that I learnt during my hackathons and projects at my job."
Before:
Fresher
After:
Artificial Intelligence Engineer at emotix
Abhini Shetye
"The path to me discovering Data Science was long and winding, but thanks to GreyAtom, the journey to becoming a Data Scientist was straightforward."
Before:
Assistant Manager - Network
After:
Assistant Manager - Data Analytics at Nearby Technologies
...this program is for you, if...
- You're an absolute beginner, or if you feel: “I can get some stuff done, but don’t feel totally comfortable.”
- You have no experience with Data Science, but have basic programming knowledge.
- You feel like you have some holes in your skill set, and could use a refresher.
- You want to pick up new tips and tricks, or want to know the latest tech in the domain.
- You want to practise solving Data Science projects to hone your skills.
I am ready for a Data Science Job
...your success is our success...
We at GreyAtom have had a profound impact on peoples' lives. See what some of them had to say in their own words. Each of these messages motivates us to do more.
…who are the mentors?
Industry experts with a passion for teaching, bringing their experience into your sessions
Avinash Ahuja
Manager, Developer Relations AI & ML at NVIDIA
Rohit Ghosh
Founding Member at Qure.ai
Daniele Rosa
Lead Data Scientist at OSRAM
Shantanu Kumar
Data Science at LinkedIn
Parag Pansare
Associate Manager at Accenture
Manas Ranjan Kar
Data scientist at Episource
Bhavesh Bhatt
Data Scientist at Fractal Analytics
Sidharth Ramachandran
Head of Data Science at Gfk
Curriculum
Module 1
Data Science toolkit
- Introduction to Data Science
- Python: Getting Started, Handling Program Flow
- Career Services:: Effective Learning for Data Science Career
- Python Fundamentals and Program Flow Assessment Quiz, Analyzing Movie Data Set
Module 2
Numpy and Pandas
- NumPy: Manipulating Data, Pandas : Wrangling Data
- Career Services :: Understanding the Industry and the roles
- NumPy and Pandas Assessment Quiz, Numpy & Pandas: Analyzing Weather Data Set
Module 3
Visualization in Python
- Matplotlib: Data Visualization, Git, GitHub & Writing Production Grade Code
- Hackathon # 1 - Guided Hackathon, Data Visualization and Git Assessment Quiz
- Matplotlib: Visualizing the Weather Dataset
Module 4
Statistics Foundations
- Descriptive Statistics: Summarizing Data, Probability for Machine Learning
- Descriptive Statistics and Probability Assessment Quiz
- Probability and Statistics : Extracting Bussiness Insights
Module 5
Advanced Statistics
- Inferential Statistics: Making Inference from Data, Linear Regression: Make Your First Prediction
- Inferential Statistics and Linear Regression Assessment Quiz
- Inferential Statistics & Linear Regression: FIFA Project
Module 6
Data Processing and Prediction
- Regularization in Machine Learning, Data Exploration: EDA and Data Preprocessing
- Regularization and Data Exploration Assessment Quiz
- Regularization & EDA: Employee Compensation Analysis
Module 7
Classification in Machine Learning
- Building a Classification Model using Logistic Regression
- Feature Selection in Machine Learning, Logistic Regression and Feature Selection Assessment Quiz
- Feature Selection & Logistic Regression: Lending Club Loan Prediction
Module 8
Tree Based Machine Learning Algorithms
- Decision Trees in Machine Learning
- Ensemble Techniques
- Decision Trees and Ensemble Techniques Assessment Quiz
Module 9
Advanced Machine Learning
- Boosting Algorithms : Gradient Boosting Algorithm
- Clustering Algorithms, Machine Learning Challenges
- GBM, Clustering & Challenges in ML Assessment Quiz
Module 10
Resume and Profile-building
- Create Data Science resumes
- Publish projects to public profiles
Module 11
Build public profiles
- Linkedin review
- Github profile review
Module 12
Career counselling
- 1-on-1 personalised sessions
Module 13
Mock interviews
- Interview prep with mentors
Projects
Projects
- 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.
IPL Dataset analysis using basic python constructs.
Visualizing Cricket Team Performance using Matplotlib and Pandas
Big Mart Sales Prediction using Linear Regression
Salary Bracket Prediction using Decision Tree
IPL Dataset analysis using more loops and conditionals
Visualize Indian Election Data Analysis using Pandas
Data Exploration of Automobile Data
Email Classification - Spam/Ham using logistic regression.
Once again - here is everything thats included
Next batch starts on 5th September 2020
I know you raring to get going. Just fill in the below form.
$ 299
$ 199
Lockdown Special Price - USE COUPON CODE "FREEDOM50"
Priyavrat Kagzi
Sr. Associate - Data Science at bharti axa
"The path to me discovering Data Science was long and winding, but thanks to GreyAtom, the journey to becoming a Data Scientist was straightforward."
Nitika Goel
Data Scientist Mobikwik
"Love their program. Awesome learning platform and very helpful interview prep."
Bhavesh Bhatt
Data Scientist - FlexiLoans
"Multiple capstone projects at GreyAtom have helped me develop my skills in Data Science."
Data Science Transition Program
- 24 mentor-led live coding sessions
- 18 Career Sessionslive coding sessions
- 87+ hours of mentor training
- 4 guided hackathons
- 2 Career Coaching Sessions - 1-on-1
- 429 Assignments
- 83 Quizzes
- 18 Cheat Sheets
- 16 industry projects
- 14 Sprints
- 12 month Access to GLabs - Learning Platform
- Unlimited updates
- Unlimited- Chat Support
- Industry recognized Certificate of Completion
+
- BONUS #1: Natural Language Processing with Deep Learning Self Paced Content
- BONUS #2: Time Series - Master Class (2+ Hours Video)
- BONUS #3: Python for Data Science 4 Day Workshop (6 Hours - LIVE Mentor)
- BONUS #4: 2-Day Tableau for Data Science Executives (6 Hours - LIVE Mentor)
- BONUS #5: Business Solving Workshop 1 Day - 2 Hour - LIVE Mentor
₹52,998FREE FOR Limited TIME
... just check the goodies ...
Whether you are a fresher straight out of college or seasoned industry professional with 10+ years of experience - you will find depth and relevance of these add-on skills in your journey.
BONUS #1: Natural Language Processing with Deep Learning
Self Paced Content
Currently, this is offered only to our B2B customers. Leaners across the Globe learn this.
BONUS #2: Time Series - Master Class
(2+ Hours Video)
Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. You will run across this applications of this family of methods in industry.
BONUS #3: Python for Data Science
4 Day Workshop (6 Hours - LIVE Mentor)
The Python Marathon is a one-of-its-kind course designed specially for aspirants looking for hands-on learning
BONUS #4: 2-Day Tableau for Data Science Executives
(6 Hours - LIVE Mentor)
By the end of these sessions, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data.
BONUS #5: Business Solving Workshop
1 Day - 2 Hour - LIVE Mentor
Learn how to frame your data science from a business problem. Build a hypothetical data product right from idea to model on paper. Cut through the clutter on how to solve business problems in data science.
…we've cracked the code to success...
It has taken over 10,000 hours to crack the code to a successful Data Science career transition. I have used data to enable 1000s of learners make rapid gains towards their goals.
Mayuresh Shilotri
Co-founder – Learner Relations
I’m Mayuresh Shilotri, and I guarantee that The Data Science – Transition is the only program that you will learn Data Science online. Let me explain how and why.
My mission is simple – I want you to upskill as a Data Scientist. If you follow the advice — in addition to a structured learning path — you will get the results that you want.
You are about to begin one of the most exciting journeys of your life, and everyone at GreyAtom is committed to help you succeed. Becoming a Data Scientist is going to take a lot of your blood and sweat, and with sheer hard work and full support from us, we are sure you will get there!
The fact is: to maximize your gains from this program, you will also need to put in an equal amount of effort.
- Spend at least 1 hour per day on GLabs (the GreyAtom learning platform), reading the material and solving data science projects. Grit and persistence is the key to success and achieving your goals.
- 86% of our learners who put in more than 6 hours a week have got at least 2 offers at the end of the program
- 91% of our learners who pivoted careers worked on Glabs every day.
That's right; we used data to ensure learner career transitions.
I wish you the best of luck with the program and hope you have as much fun learning, as we had building it for you. Once again, welcome aboard!
A final parting thought –
“A final parting thought: “For the things we have to learn before we can do them, we learn by doing them.”
― AristotleRegards,
Co-founder – Chief of Marketing
I am ready for a Data Science Job
Designed in collaboration with top academicians and thought leaders, our curriculum is constantly updated to reflect new innovations in technology.
...schedule is OUT - join the next batch ...
Mentor code along sessions
Next batch starts on 5th September 2020
Week 1: Python - IPL Dataset analysis using basic python constructs.8:00 AM - 9:30 AM |
Week 2: Python - Visualizing Cricket Team Performance using Matplotlib and Pandas8:00 AM - 9:30 AM |
Week 3: ML - Big Mart Sales Prediction using Linear Regression8:00 AM - 9:30 AM |
Week 4: ML - Salary Bracket Prediction using Decision Tree8:00 AM - 9:30 AM |
Week 5: Python - IPL Dataset analysis using more loops and conditionals8:00 AM - 9:30 AM |
Week 6: Python - Visualize Indian Election Data Analysis using Pandas8:00 AM - 9:30 AM |
Week 7: ML - Data Exploration of Automobile Data8:00 AM - 9:30 AM |
Week 8: ML - Email Classification - Spam/Ham using logistic regression.8:00 AM - 9:30 AM |
Week 9: Python - Mobile App Data Analysis8:00 AM - 9:30 AM |
Week 10: Python - TED Data Analysis8:00 AM - 9:30 AM |
Week 11: ML - Medical Insurance Code Along8:00 AM - 9:30 AM |
Week 12: ML - Breast Cancer Code Along8:00 AM - 9:30 AM |
... 4 success factors for 100% success...
We bring the curriculum, expertise and ecosystem, and you bring the grit and determination to succeed.
Structured Curriculum
429 assignments | 83 quizzes | 16 projects | 18 cheatsheets.
Do it HONESTLY. You will 100% succeed.
Mentors
We all need mentors. Learn directly from a community of 250+ global mentors, all experts and all committed to your success.
Community
1,200+ Data Scientists in single Slack community. Engaged and responsive.
Practice
GreyAtom Learning Platform makes you practice. One place to do all. Easy to get started. Easy to sustain.
... what's a 'Career Sundays' session?...
What if you were to attend a session every Sunday where we analyze - How to crack interview in particular company? That's exactly what happens here.
These are majorly technical sessions. You get a sneak peek into an interview.
- Cracking an interview in 'Product' Company is different that 'Services' company. Discover these difference. What technical questions were asked?
- How the interview was driven? Where did the interviewer choose to dive deep into the Project? How to handle questions pertaining Algorithms? How to navigate the interview?
- Handling questions mapped to the Data Science pipeline. Right from Data wrangling to Model Building to Hyper Parameter tuning.
- Learn from real life learner success stories. Get realistic interview success and failure rates. These mentors are the ones taking interviews in there respective companies. Ask them questions that you always wanted to ask.
... what are mentor 'Code-alongs Saturdays'...
Mentor is a practicing Data Scientist - working and solving real world problems
- The project that is to be solved and shared with the learners. The mentor opens the session by deconstructing the problem statement.
- They next solving smaller sub-problems within the larger problem statement. Learner will benefit by oberving the process across 6 months.
- Solve a mix of real world problems and smaller project while internalizing concepts and building depth.
- Learner completes the pre-work and comes for the session. You can ask questions during the code along sessions. Learners benefit from this Q&A
- Mentors tell you the happy path and pratical way of doing things in the Industry. You will interact with anywhere between 4 to 12 mentors across 6 months.
...how will GreyAtom help you get a Job...
1:1 Career Counselling
Put in place a personal Go-To-Market strategy for your Job Hunt.LinkedIn Review
Make sure you are NOT commiting rookie mistakes. Ace your LinkedIn profile. Learn how to ace your LinkedIn profile.Career Sessions
How to crack the interviews? Learn from the people who take the interviews.
Portfolio Building
Build a super Github Profile that showcases the work that you have put in over the time.Access to Industry Partners
Get a chance to showcase your CV/ Profile to our Industry partners.Peer Mock Interviews
Practice with your peers to iron out the initial set of problems in your preparations.
I am ready for a Data Science Job
...how does the learning happen...
I understood all the sessions and product and community and ALL... TRUST me ... How does all of this come togther... When do I study on own? When do I attend the sessions? How do I raise queries?
Here is how it works -
- Jen gets into the Program. She attends the Orientation scheduled for the month. next, Jen gets into the 4-Day Base-camp. She puts in some effort to iron out her Python skills.
- Mentor Codealongs and Career Sundays Start. Jen logs into GreyAtom Learning Platform, completes prework for each of the session and then attends the sessions.
- Jen is solving the assignments and completing sprints one after the other. Ahh! she is stuck on this one Linear Regression/ Regularization - Assignment. She chimes into the Slack Channel.
- Before GreyAtom mentor can answer - another learner Adam answers it. She now has a solution and a friend.
- She is breezing through - 4 months lapse? She schedules a 1-on-1 with a Career Coach. Kritika the career coach helps Jen with a personalized plan to hit the job market.
Learn by doing - See your skills grow
'GLabs' - GreyAtom Learning Platform is an in-house cloud-based learning platform
Learn by doing
- Practice tasks to learn new skills
- Get real-time feedback on how you are doing
- We are beginner friendly. With you all the way
Outcomes matter - 'Get it done'
Industry Mentors also log in to the platform. You can connect with them right here. Mentors keep you accountable, motivate you and help you with transitions
Hackathons / Projects
- Hackathons are hosted on the platform. Hackathons compel learners to apply all that they have on-boarded so far to a real world problem
- Making learning easier is NOT the goal. Making learning ‘effective’ is the core mandate. GLabs strives to introduce just the right amount of challenges appropriate to stage of the learner
- Work with your fellow learners on industry grade projects. This ensures that the learners are aligned to career market
Learner Focused
- Structured curriculum in one place. Wiki’s, Mathematical deep dives, simulations, assignment, challenges, hackathons and much more
- Just the right level of difficulty. Its challenging but completable. Ramp up as you progress
- Creatively curated assessments - Make learning a fun experience