Immersive Data Science Program
Weekend - 24 weeks (Classroom) | Sat, Sun • 9:30am - 4:30pm
Over next 3 years India will face a shortage of 2 lakh data scientists- The Hindu
75% of companies are investing in, or planning to invest in, big data in the next two years- Gartner
Data Scientists with around 5 years of experience earn 75 lakh pa compared to 5-8 lakh for engineers with same experience- Team Lease
99% of C-suite executives said analysis of data was important to their strategy next year- KPMG
GreyAtom’s 24-week classroom offering covers core and advanced concepts, techniques, and tools that a data scientist will find handy in aiding decision-making. As you progress through the program, you will build the kind of problem-solving acumen that is needed to resolve real world problems.
Build strong foundations on statistical concepts, setup machine and tech fundamentals
Build strong foundations on statistical concepts and perform analysis with real world data sets in python and its associated libraries
Master the art of collecting, extracting, querying, cleaning, and aggregating data for analysis
Develop a deep understanding on real world applications of Supervised ML algorithms.
Solve real world data science problems on industry data sets using appropriate Supervised ML models and algorithms.
Develop a deep understanding on real world applications of Unsupervised ML algorithms.
Understand how distributed systems and parallel computing technologies are solving these challenges.
Productize your data science models. Build a fluid understanding on how to deploy data science products.
Outlier Detection - Haptik caters to limited number of services. Users tend to ask queries, out of scope of Haptik’s reach. To identify these queries as outliers and handling those by gentle denial is the best practice.
Prepare a model which predicts
a) Given a user , when will he do his next balance recharge
Our prime objective to provide our students with hands on experience in solving data science problems. For this we need a set of world class instructors having a perfect blend of both industry as well as academic experience. And hence we have built a pool of instructors varying from academicians from IIT to Data Scientists at companies like Haptik, Uber etc. We also bring in a lot of Hiring Challenges and Hackathons from our Industry partners to the classroom which develop various of skill set in our students.
Apart from that we have a dedicated team for Learning and Development which will help you with Job search and career opportunities even after the program. Our instructional staff conducts mock interviews, training exercises and role-play sessions designed to help you tackle the job interview.
"It’s been an amazing experience gaining knowledge of all the important topics of Data Science. Excellent work done on Commit.Live."Arunabh Singh
Data Science Program, Data Scientist @The Data Team
Our students build projects that are modeled on real industry data sets and address real-world challenges. This is part of the Immersive Learning experience of GreyAtom's flagship program. Browse through some of our students' projects to discover the learning outcomes.
Our career services work closely with you throughout the program. We help you identify your strengths and weaknesses, determine career interests, and spot employment opportunities. We empower our students to become self-sufficient in navigating the everchanging employment landscape.
At graduation, you will have an extensive and rich GitHub portfolio, several storytelling blogs on Medium, and a résumé that does most of the speaking.
We help our students develop confidence and become comfortable with job interviews through on-campus training sessions, roleplay, and mock interviews.
Our career coaches help you understand the hiring landscape and navigate its challenging terrain.
Commit.Live™ is our in-house, cloud-based training platform. Integrated with GitHub and Medium blogs, our training platform brings the best of all worlds at the click of a button. With on-board performance analytics and gamification, Commit.Live offers a seamless, immersive learning experience.
To apply for the Full Stack Data Science Engineering program, you must have
Minimum eligibility criteria may be waived for exceptionally qualified candidates.
If chosen for Scholarship
Once an approval is received for scholarship from the industry partner, candidates are emailed an admission decision.
Users will be awarded a certificate upon the completion of the program. Also, users will enjoy lifetime access to learning materials, assignments, and quizzes.