Program Data Science

"GreyAtom is focussed on building full stack data scientists and gives you all the tools, techniques, and core concepts needed to make an impact. In just 16 weeks, you'll apply problem-solving and creative thinking to real-world data sets, gaining experience across the entire data science stack.
The course is often described as “drinking from a firehose” because of how much information it packs in. You will use your new skills to build projects, while learning new technologies on the fly. By the end you will be a full stack data scientist, capable of tackling unique, unfamiliar problems and building complex applications.

  • FDSE Program
  • Learn R & Python programming
  • Refresh Math & stats fundamentals
  • Develop expertise in machine learning, NLP, text mining
  • Build a recommendation system from scratch
  • Perform sentiment analysis on social network
  • Work with Big Data on Hadoop & Spark
  • Build your apps and deploy them
  • Learn effective data visualisation techniques & tools, all with real world data.
Program Outcomes

Master the art of story-telling

Develop soft skills for critical thinking, effective communication & story telling.

Build production-grade applications

Deploy your applications to production on AWS platform.

Build a Great Professional Network

Speak at our Meetup events, participate in panel discussions, network with 2000+ professionals in data science space

Be fully Industry Ready

Build a portfolio of 5+ data science projects on real Industry problem statements

Be Capable Coders

Code. Code. Code. Master R, Python, Big Data, MongoDB and related toolsets most commonly used across the data science landscape.

Get your Dream Job

Prep for a competitive job market with our career coaching.Be ready for everything from startups to major tech firms.

“If someone is looking for a career change into data science, they could not get a more supportive and helpful environment than GreyAtom”

— Meera H., Full-Stack Software Engineer, Level Studios

Syllabus

Data Science Foundations

A strong Mathematics and Statistics foundation is crucial for critical thinking in your career as a data scientist. Refresh the fundamental topics in this area. Learn essential exploratory techniques for summarizing data

Programming & Industry Tools

Learn R & Python programming along with their associated libraries like SciKit Learn & Numpy. Learn fundamentals of Test Driven Development and tools like GIT, SSH, Shell and more. Industry Project #1

Big Data

Learn about Hadoop & Ecosystem, Spark, mongoDB, Big Data Visualisation, Web Analytics. Multi-channel analytics with real world tools and problem statements.

Data Storytelling & Soft skills

Learn how to be an effective data story-teller. Blog and building your public profile. This module is designed to help you stand out at your workplace.
machine-learning1

Machine Learning

Learn about various ML techniques like Regression, Clustering, Classification, Ensemble Methods and many more. Get detailed knowledge of supervised and unsupervised learning with real industry applications.
Industry Project #2

Deployment

Use Amazon AWS to test and deploy the model. Learn about the various aspect of cloud deployment that you must know as an engineer. Play with AWS to master the cloud.
Industry Project #3

Electives - NLP, Visualization , Big Data Admin, Image & Speech Recognition

Choose your specialization based on your interest. There is a dedicatd track for NLP, Visualization using d3.js, Big Data Admin and Image Recognition.
Industry Project #4

Capstone Project

Implement your learning on the Industry Capstone project - based on the domain of your interest/aspiration. Demonstrate your competence and fitness as a real data scientist.Showcase your work to Industry mentors on the Demo Day.

Career Coaching

Our career counseling team will help you polish your public presence and train you with certain mock interviews. After the training your resumes will be circulated to our network of Hiring Partners. Our Tech Stack - Logos - R, Python, AWS, mongDB, Spark, Hadoop, Google Analytics, D3.js, Tableau, Gamuga, mixpane

Download the Detailed Syllabus of Our Program

Elevate your career with GreyAtom Full Stack Data Science Engineering Program

Mentors & Instructors

Rajiv Gandhi

PhD, Computer Science - University of Maryland College Park
Mayuresh Shilotri

Mayuresh Shilotri

MBA, Management - IIT Madras
shweta

Shweta Parekh

Co-founder & Head Programme & Admissions
Mayuresh Shilotri

Mayuresh Shilotri

Co-founder & Head Student Experience

Prasad Kothari

M.S., Management of Information Systems - University of Arizona
Kunal Singh

Kunal Singh

MBA Finance - University of Pune

Krupal Modi

Lead Machine Learning Scientist @ Haptik

Post Carousel

Ganesh Badhe
February 2, 2017

Instructors

How we will teach , with Commit Verified system

Onsite Immersive

Learning is most effective when it’s social and is application based.We have maxed the contact hours to optimize the learning in 16 weeks. We teach you to become really good data scientists. You learn by experiencing things in an apprentice mode in a real office simulation. Access to our campus is 24x7 and even after you graduate!
for-the-industry-by-the-industry

For the Industry, by the Industry

Our curriculum is designed by experts from the industry, based on the need of hour. Our projects are real world problem statements from the industry.

Commit Verified System

You progress through lessons only by writing code that meets requirements of our curriculum. Every line of code you write is published to GitHub. Master the command line. Mandatory blog posts on completion of learning.No certificate or degree can prove you can code, but a great portfolio can!

Collaborative Learning

Collaborate with other student on projects - emulating real-time teamwork. You'll double check one another’s work to reduce coding errors, and learn the team skills needed to thrive in a professional working environment.

“Enrolling for the GreyAtom course is the best decision I have taken. The collaborative , Immersive learning environment has accelerated my learning”

— Meera H., Full-Stack Software Engineer, Level Studios

Campus Life

Daily Schedule, Monday to Friday
Duration: 3 Months
  • 9.30 AM - 11.00 AM
    Daily Standup & Class

    After a 10 minute daily stand up , we'll introduce new concepts

  • 11:00 AM - 12:30 PM
    Data Lab

    Hack away on the assignment based on the morning lecture learnings.

  • 12:30 PM - 1:30 PM
    Lunch

    Decompress and let concepts solidify over a meal.

  • 1:30 PM - 5:30 PM
    Code Sprint

    Work on the thoughtfully crafted real world problem statements.

  • 5:30 PM - 6:00 PM
    Yoga

    Enjoy scheduled Yoga time or just take a break!

  • 6:00 - 7:30 PM
    Industry lecture series

    Gather with your entire class for an evening lecture by industry speaker

Monday, Wednesday, Friday
Duration: 6 Months
  • 8:00 AM - 10.00 AM
    Standup & Class

    After a 10 minute stand up , we'll introduce new concepts. Complete your weekly sprints as take away assignments

Saturday
  • 9.30 AM - 11.00 AM
    Daily Standup & Class

    After a 10 minute daily stand up , we'll introduce new concepts

  • 11:00 AM - 12:30 PM
    Data Lab

    Hack away on the assignment based on the morning lecture learnings.

  • 12:30 PM - 1:30 PM
    Lunch

    Decompress and let concepts solidify over a meal.

  • 1:30 PM - 5:30 PM
    Code Sprint

    Work on the thoughtfully crafted real world problem statements.

  • 5:30 PM - 6:00 PM
    Yoga

    Enjoy scheduled Yoga time or just take a break!

  • 6:00 - 7:30 PM
    Industry lecture series

    Gather with your entire class for an evening lecture by industry speaker

Industry Projects

yatra-logo

Yatra.com

Predictive first international destination for a Tier 2 city customer
haptik-logo

Haptik

Benchmark your sentiment-analysis ideas on the Haptik dataset. Label phrases on a scale of five values: negative, somewhat negative, neutral, somewhat positive, positive.

CleverTap

Based on Clevertap dataset , predict which user will uninstall which App next.

CCAvenues

Improve the real time visualisation , enabling better & in time decision making

Outbrain

Predict which link a user will click next

Amazon

Recommend ways to reduce shopping cart Abandonement for Amazon

“Within 15 days of my course completion I got a job in machine learning.”

— Meera H., Full-Stack Software Engineer, Level Studios

Career Services

Count on our career services to work closely with you from day 1 of the program to day 1 of your Job!They will help you identify your strengths and career interests, help you refine your career goals, and identify opportunities for you to connect with hiring partners.

Online Presence

By graduation, you will have a strong, unique Github portfolio, online profiles and a resume that reflects your value in the job market.

Coaching

Our instructional staff conducts mock interviews, training exercises and role-play sessions designed to help you tackle the job interview.

Student Success Team

Dedicated Team who will ensure to help you with Job search and career opportunities even after the program. Our centre is open for our Alumni 24*7.

Industry Love Our Graduates!

Our graduates thrive at Fortune 500 companies and start ups alike!
Hiring partnership with more than 300+ successful companies across India:

yatra-logo
haptik-logo
yatra-logo
haptik-logo

“We've been utterly floored by the quality of the graduates and how motivated, technically competant, and collaborative they have been.”

— Gregory S. Jackson, CEO of mysite

“GreyAtom has a deep understanding of what it takes to build and train a data scientist to succeed within an organization. They have built a world-class curriculum that engages people in the full stack data science: from data gathe.”

— Michael Y. Farthing, CEO of mysite

Who Should Apply?

  • Engineering is not a skill, its an attitude. If you think you think critically , have strong logical reasoning and a fervor to learn, you can Apply to this program
  • Background in Engineering,Technology and Maths (STEM) will be useful
  • Prior knowledge of one OOPS based computer language (e.g Java, C++) would be an add on

How to Apply?

Ready to take the first step towards your new career as a Data Scientist? Start filling out an application to begin the transformation.

Course Start Date: 6th March 2017   |   Location: Mumbai   |   Duration: 3 Months

“At GreyAtom, I got the first hand experience of working in a real office, right after college! I loved the daily standups, sprints and the insane pace at which we learned data science”

— Gregory S. Jackson, CEO of mysite

FAQ

GreyAtom's research shows a growing demand of employers seeking qualified individuals for positions in the field of Data Science. This is driven by the exponential growth of available data (2.5 quintillion bytes of data are created daily and 90% of the world’s data was created in the past two years) and the narrow set of specific skills required to extract value from that data. As a result, the number of job postings has surged and median salaries have risen as well, leading to “data scientist” becoming the best job in in India in 2016, according to Glassdoor. The median salary for a data scientist is 11,00,000 p.a

External data continues to validate the demand for the program that GreyAtom Offers

  • 75% of companies are investing in, or planning to invest in, big data in the next two years. - Gartner
  • 99% of C-suite executives said analysis of data was important to their strategy next year. -KPMG

99% of C-suite executives said analysis of data was important to their strategy next year. (KPMG, 2015)

  • “Over next 3 years India will face a shortage of 2 lakh data scientists”
  • Data Scientists with around 5 years of experience earn 75 lakh pa compared to 5-8 lakh for engineers with same experience “ – Team Lease

We believe we are different , in several key ways:

  • The GreyAtom program is special forces training for budding Data Scientist. Tough. Intensive. Rigorious, and most importantly it is an onsite program versus online. We truly believe that accelerated learning can happen in a co-located agile environment with collaboration.
  • You progress through lessons only by writing code that meets requirements established by our curriculum. Every line of code you write is published to GitHub , thus adding to your Tech profile. No certificate or dgree can prove you can code, but a great portfolio can!
  • As part of the curriculum, we are covering the entire spectrum of the Data Science landscape to make you a true blood Full Stack Data Scientist
" Yes, we will work insanely hard to provide you with a great data science learning experience & mentoring .GreyAtom Career Team offers valuable tools and coaching before, during, and after the course to help students achieve their individual goals. There are one-on-one meetings with your Career Advisor, exposure to industry experts via our in-class Speaker Series, workshops focused on resume writing, LinkedIn, salary negotiations, mock technical interviews with professional data scientists, and moreCount on our career services to work closely with you from day 1 of the program to day 1 of your Job!"
Some experience in both programming and statistics are necessary. Further background in either one is helpful but not critical for this course. Students jump into solving problems directly, which requires the use of Python skills and statistics knowledge together. You will learn more in the area you’re currently weaker in (if that applies to you), meaning that you will graduate from the bootcamp feeling strong and qualified in both.

You will build a strong foundation in the R & Python language, the unix/linux command line, machine learning packages such as scikit.learn, other statistics modules including scipy and pandas, web scraping packages like BeautifulSoup and Selenium WebDriver, PostgreSQL and mongodb databases, collaborative coding under version control with git, working on remote cloud servers such as rackspace, custom visualization tools, especially matplotlib and d3.js with support in HTML, CSS, JavaScript, and web hosting.

You will also learn about, and become familiar with, distributed algorithm frameworks such as Hadoop/MapReduce, system architectures with multiple servers of different roles, and web app frameworks such as Django.

You will complete four data science projects throughout the course. At the beginning, you follow along with the instructors as they guide you, but as you learn more, your control over each project increases. You soon make your own choices when tackling data science problems, and with each project, you get concrete, sharable results like blog posts, graphs, and/or reports. For each of these projects, you will conclude with a story of what the problem was, how you approached it, how you solved it, and what the results look like. The final captone project is your passion project, during which you have full control from start to finish. Aside from giving you hands-on experience and confidence, these projects provide you with stories and outcomes as a great way to demonstrate your abilities to potential employers.
  • Individuals who have a strong interest in manipulating large data sets, finding patterns in data, and making predictions.
  • Software developers who want to solve problems that involve large data sets, such as predicting user behavior on their website, making decisions, or the best way to classify content.
  • Individuals with a good grasp of programming, a solid knowledge of statistics and probability but missing the intersection of them both.
We would love to see these qualities in yoou - curiosity, intellectual agility, statistical fluency, research stamina, scientific rigor, skeptical nature.A good grasp of college-level statistics and probability and familiarity with a programming language would be an add on

For Sure! We have tied up with loan providers like Credila so that there are no barriers for your knowledge!

We work with lending companies including Credila who understand the investment you are making in yourself. After applying to GreyAtom, you will receive details on how to get pre-approved with a lending partner and work with our Admissions Team to explore solutions to fund your tuition.

Scholarship offered for Women in Technology Leadership, Scholarship for Data Science Scholar.

You will need your computer, your brain, and a readiness to learn. Your computer needs to run OS X and have at least 4GB RAM, 2GHz, and a 100 GB HD. Alternatively, if you are a Windows user and your computer is fairly powerful, you could run a Linux Virtual Machine inside your normal Windows install. This requires some configuration.