… 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 training with mentors
- 2 Career coaching 1-on-1 sessions
- 4 Guided hackathons
- 429 Assignments
- 83 Quizzes
- 16 Industry projects
- 18 Cheatsheets
- 18 LIVE career transition sessions
- 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.
Susheel Amingad
"My aim was to boost my career. At the end of my GreyAtom program, I had two offers in hand."
Before:
Software Developer at Accenture
After:
Data Science Specialist at Sapiens Technologies
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.
Kshitij Satpute
Lead Engineer at Visible Alpha
“If you have a strong desire to solve problems using data, you can become a Data Scientist. GreyAtom helped me transform that desire into a career!"
Bhavesh Bhatt
Software Engineer → Data Scientist at FlexiLoans
“Multiple capstone projects at GreyAtom have helped me develop my skills on Big Data and all other elements of Data Science."
Nitika Goel
Data Scientist – Mobikwik
“Love their program. Awesome learning platform and very helpful interview prep. I realized that GreyAtom has an elaborate curriculum which can help me pivot my career in data science."
Everything you need for a career in Data Science in one package
Next batch starts on 3rd October 2020
Ready to start? Register below.
₹19,999
JOIN THE PROGRAM - NOW!
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
- 18Career sessions
- 87+ hours of mentor training
- 4 Guided hackathons
- 2 Personal career coaching sessions 1-on-1
- 429 Assignments
- 83 Quizzes
- 18 Cheatsheets
- 16 Industry projects
- 14 Sprints
- 12 months access to GLabs
- Unlimited updates
- Unlimitedchat 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 of video
- BONUS #3: Python for Data Science 4-day workshop; 6 hours LIVE with mentor
- BONUS #4: 2-Day Tableau for Data Science Executives 6 hours LIVE with Mentor
- BONUS #5: Business Solving Workshop 2 hours LIVE with 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 module is only offered to our corporate customers. Learners across the globe amp up their resumes with this valuable skill.
BONUS #2: Time Series - Master Class
2+ hours of video
Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics from the data. You will run across several applications of this family of methods in the industry.
BONUS #3: Python for Data Science
4-day workshop; 6 hours LIVE with 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 with Mentor
Learn how 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
2 hours LIVE with Mentor
Learn how to frame your Data Science problem 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.
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.
Curriculum
Module 1
Data Science toolkit
- Introduction to Data Science
- Getting started with Python
- Handling program flow in Python
- Career Services :: Effective learning for Data Science career
Module 2
Numpy and Pandas
- NumPy: Manipulating data
- Pandas: Wrangling data
- Career Services :: Understanding the industry and the roles
Module 3
Visualization in Python
- Matplotlib: Data visualization
- Git, GitHub and writing production-grade code
- Guided hackathon #1
Module 4
Statistics foundations
- Descriptive statistics: Summarizing data, probability for Machine Learning
- Probability and statistics: Extracting business insights
Module 5
Advanced statistics
- Inferential statistics: Making inferences from data
- Linear regression: Make your first prediction
- Project
Module 6
Data processing and prediction
- Regularization in Machine Learning
- Data exploration: EDA and data preprocessing
- Project
Module 7
Classification in Machine Learning
- Building a classification model using logistic regression
- Feature selection in Machine Learning
- Project
Module 8
Tree-based Machine Learning algorithms
- Decision trees in Machine Learning
- Ensemble techniques
Module 9
Advanced Machine Learning
- Boosting algorithms: Gradient Boosting Algorithm
- Clustering algorithms
- Machine Learning challenges
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 Data Anaysis
We want to know as to what happens during an IPL match which raises several questions in our mind with our limited knowledge about the game called cricket on which it is based.
This analysis is done to know as which factors led one of the team to win and how does it matter.
Zomato Restaurant Data Analysis
We want to study the food habbits of zomato users, their preferances, ratings and various other features to understand the food business.This will help us understand the food restaurant business better
Web scrapping with Python
Data extraction from web(Ranging from manual copy paste to complex automations)Websites come in different formats resulting in need of different web scrapers. A hands on session to scrape data from web
Customer Marketing Strategy
Segmentation in marketing is a technique used to divide customers or other entities into groups based on attributes such as behaviour or demographics.
The top challenge faced by marketers is understanding who they are selling to.
Once you know your buyer personas, you can tailor your targeting and offerings to increase their satisfaction and your revenue as a result. When you already have a pool of customers and plenty of data, it can be incredibly useful to segment them.
Here we will be using Credit card data to segment the customers.
Credit Delinquency Prediction
Delinquency describes something or someone who fails to accomplish that which is required by law, duty, or contractual agreement, such as the failure to make a required payment or perform a particular action.
Credit scoring algorithms, which makes a guess at the probability of default, are the method banks use to determine whether or not a loan should be granted. This use-case requires learners to improve on the state of the art in credit scoring, by predicting the probability that somebody will experience financial delinquency in the next two years.
…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 Data Science – Transition is the only program that you will ever need to 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 our 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 that, 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.
-
Watch video
...schedule is OUT - join the next batch ...
... 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 Sunday' session?...
We analyse and break down How to crack interview in particular company? every Sunday. An unmissable session to get insights into the hiring process of top companies.
These are majorly technical sessions. You get a sneak peek into an interview.
- Cracking an interview in a Product company is different from doing so in a Service company. Discover these key differences.
- What technical questions were asked? How was the interview driven? Where did the interviewer choose to dive deep into projects? How to handle questions pertaining to 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 their respective companies. Ask them questions that you always wanted to ask.
... what are mentor 'Code-along Saturdays'...
Mentors are practicing Data Scientists solving real world problems in the industry
- The project that is to be solved is shared with the learners. The mentor opens the session by deconstructing the problem statement.
- Learners then solve smaller sub-problems within the larger problem statement. Learner will benefit by observing the process over 6 months.
- Solve a mix of real world problems and smaller projects while internalizing concepts and building depth.
- Learner completes the pre-work and comes for the session. They can ask questions during the code-along sessions to understand the concepts better.
- Mentors share the ideal and practical way of doing things in the industry. Learners will interact with anywhere between 4 to 12 mentors across 6 months.
- JOIN THE PROGRAM - NOW!
...how will GreyAtom help you get a Job...
-
1:1 career counselling
Execute a personal Go-To-Market strategy for your job hunt. -
LinkedIn review
Make sure you are NOT committing rookie mistakes. 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 time. -
Access to industry hiring partners
Get a chance to showcase your profile to our industry partners. -
Peer mock onterviews
Practice with your peers to iron out the initial set of problems in your preparations.
…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
I am ready for a Data Science Job
...how does the learning happen...
You understand that there are sessions, the learning platform, community and much more. But you want to know how all of this comes together. This is how.
Here is how it works
- Jen joins the program. She attends the orientation scheduled for the month. Next, Jen starts with the 4-day basecamp. She puts in effort to iron out her Python skills.
- Mentor code-alongs and Career Sundays begin. Jen logs into GLabs to complete pre-work for each session and then attends the sessions.
- Jen solves the assignments and completes sprints one after the other. Oh! She is stuck on an assignment. She messages the group on Slack for help.
- Before a GreyAtom mentor can answer, another learner Adam chimes in. She now has a solution and a friend.
- She is breezing through the program. After 4 months, she schedules a 1-on-1 with a career coach. The coach helps Jen with a personalized plan to target the job market.
Watch your skills grow
GLabs is GreyAtom's flagship 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 and with you all the way
Outcomes matter. Get it done.
Industry mentors also log in to the platform. You can connect with them right there. Mentors keep you accountable, motivate you and help you with transitions.
Hackathons and projects
- Hackathons are hosted on the platform. Hackathons compel learners to apply all that they have learned 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: wikis, mathematical deep dives, simulations, assignments, challenges, hackathons and much more.
- Just the right level of difficulty. It is challenging, but completable. Ramp up as you progress.
- Creatively curated assessments to make learning a fun experience.
I am ready for a Data Science Job
…what happens after you enroll…
We are with you. Always.
Join the learner-only Telegram group. Receive real-time updates.
Respond to pre-workshop survey. This will help us understand you better.
You will get an invoice and an email with all the next steps.
Join the GreyAtom learning platform to start learning.
We expect you to attend 90 minutes of sessions each day
