- Connect with a global network of accomplished IIITB Alumni
- Widely recognised and valued Advanced Programme in Data Science
- Network with Data Science and Data Analyst professionals across all industries
- Receive an additional Honors Certificate on achieving 3+ CGPA in the program
Top Subjects You Will Learn
Who Is This Programme For?
Job Opportunities
Minimum Eligibility
Our Learners Work At
Instructors
Learn from India’s leading Data Science faculty & industry experts
Prof. Chandrashekar Ramanathan
Behzad Ahmadi
S. Anand
Sajan Kedia
Mirza Rahim Baig
Prof. Tricha Anjali
Prof. Dinesh Babu Jayagopi
Prof. G. Srinivasaraghavan
Ujjyaini Mitra
Sagar Jounkani
Rajesh Sabapathy
Utkalika Badu
Tools Covered
Industry Projects
RSVP Movie Assignment
Work on a movies dataset using SQL to extract exciting insights.
ImDb Movie Analysis
Humans are visual learners and hence no task related to data is complete without visualisation. Learn to plot and interpret various graphs in Python and observe how they make data analysis and drawing insights easier.
Uber Supply-Demand Gap
An assignment to study, visualize and solve Uber supply-demand gap problem
Credit EDA case study
Solve a industry based problem through the concepts learnt in exploratory data analysis
Bike Sharing Assignment
Learn to build a model to understand the factors on which the demand for bike sharing systems vary on and help a company optimize its revenue
Lead Scoring Case study
Help the sales team of your company identify which leads are worth pursuing through this classification case study
Telecom Churn Case Study
Telecom companies often face the problem of churning customers due to the competitive nature of the industry. Help a telecom company identify customers that are likely to churn and make data-driven strategies to retain them. Learn Dimensionality Reduction and Classification techniques to mitigate customer churn problems.
Business Case Study on Staff Planning
Understand how a project in the industry is taken up and solved through a comprehensive business case study.
Fraud Detection
Build a machine learning model to identify fraudulent credit card transactions
Admission Process
There are 3 simple steps in the Admission Process which is detailed below:
Step 1
Step 1: Screening Round & Possible Exemption from Test
Fill out you basic details like education background, marks etc and get a chance to be exempted from selection test.
Step 2
Step 2: Selection Test
Fill out an application and take a short 17-minute online test with 11 questions.
Step 3
Step 3: Review & Shortlisting of Suitable Candidates
Our faculty will review all applications, considering the educational and professional background of an applicant and review the test scores where applicable. Following this, Offer Letters will be rolled out so you are assured a great peer group to learn and network with.
Step 4
Step 4: Enrollment for Access to Prep Content
Make a quick block payment with assistance from our loan partners where required, receive immediate access to the prep content and begin your upGrad journey.
Disclaimer
- Based on upGrad NPS response data obtained from ~1252 learners, between 2nd Oct'21 to 18th Oct'21 for upGrad courses*. The review was performed by Deloitte Touche Tohmatsu India LLP. upGrad is a platform to facilitate program delivery by educational institutions and is not a college or a university itself. *programs.upgrad.com/disclaimer_courselist.
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