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For College Students
PG Diploma In Data Science
Learn in-demand skills with widely recognized and valued Post Graduate Diploma in Data Science by upGrad and IIIT-B
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INTRO VIDEO
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Format-- months
Duration Recommended 10-15 hrs/week250+
Hiring PartnersProgram Overview
Key Highlights
Designed for Working Professionals
7+ Case Studies and Projects
Timely Doubt Resolution
IIIT Bangalore Alumni Status
Job Placement Assistance with Top Firms
upGrad has been instrumental in helping us in finding candidates with key skill sets in Data Science and Analytics
- Val S, Director at Animaker
Top Skills You Will Learn
Statistics, Predictive Analytics using Python, Machine Learnview more
What You Can Become
Data Analyst, Data Scientist, Product Analyst, Machine Learnview more
Who is this program for
Engineers, Software and IT Professionals, Marketing & Sales view more
Minimum Eligibility
Bachelor’s degree, no coding experience required
Programming Languages and Tools
Post Graduate Diploma from IIIT Bangalore
Complete all the courses successfully to obtain this prestigious recognition from IIIT Bangalore
Click to zoom
- Connect with a global network of accomplished IIIT-B Alumni
- Widely recognised program in Data Science
- Network with data science experts across industries
Over 200 Careers Transformed
Our Hiring Partners
Opening the doors to the best in the industry
Empowering learners of tomorrow
Over 2,300 students have completed this course and started working at their dream job, whats stopping you?
Instructors
Learn from India’s leading Data Science faculty and industry leaders
Hindol Basu
CEO
An alumnus of IIT and IIM with over 13 years of experience in analytics with industry leaders such as the CitiGroup, Tata Industries, etc.
Chandrashekar Ramanathan
Dean - Academics
Prof. Chandrashekar has a Ph.D. from Mississippi State University and over 10 years of experience in several multinational organisations
S. Anand
CEO
A gold medallist from IIM Bangalore, an alumnus of IIT Madras and London School of Business, Anand is among top 10 data scientists in India with 20 years of experience
Tricha Anjali
Associate Dean
Prof. Anjali has a Ph.D. from Georgia Tech as well as an integrated M.Tech. (EE) from IIT Bombay. Her research interests include computer and wireless networks.
Sameer Dhanrajani
Chief Strategy Officer
An AI and Analytics Evangelist for Fortune 500 companies who has won several industry awards in the field of analytics
Prof. S. Sadagopan
Director
Prof. Sadagopan is currently the Director (President) of IIIT Bangalore. He has an M.S. and a Ph.D. from Purdue University as well as a B.E. (Hons.) degree from Madras University.
Ujjyaini Mitra
Head of Analytics
An alumnus of McKinsey and Co., Flipkart, and Bharti Airtel with over 11 years of experience
Prof. G. Srinivasaraghavan
Professor
Prof. Srinivasaraghavan has a Ph.D. in Computer Science from IIT Kanpur and 18 years of experience with Infosys Technologies as well as several other Fortune 500 companies.
Ankit Jain
Sr. Research Scientist
An alumnus of IIT Bombay, Berkeley & Harvard Business School with over 9 years of experience
Dinesh Babu Jayagopi
Asst. Professor
Prof. Dinesh has a Ph.D. from Ecole Polytechnic Federate Switzerland, M.Sc. from IISc Bangalore in System Science and Signal Processing and B.Tech. from Madras Institute of Technology.
Kalpana Subbaramappa
Ex-AVP
Kalpana is the ex-AVP of Decision Sciences at Genpact with an experience of over 20 years.
Mirza Rahim Baig
Lead Business Analytics
Advanced analytics professional with 8+ years of experience as a consultant in the e-commerce and healthcare domains
Syllabus
Download Brochure
400+
Hours of Content7
Case Study and Projects20
Live SessionsPreparatory Course
4 Weeks
3 Assignments
- Data Analysis in Excel8hr 55min
- Introduction to Python6hr
- Python for Data Science10hr 10min
- Visualisation using Tableau6hr 5min
Statistics and Exploratory Data Analytics
7 Weeks
3 Assignments
- Analytics Problem Solving12hr
- Assignment: Statistics and Hypothesis Testing8hr
- Exploratory Data Analysis10hr 10min
- Hypothesis Testing10hr 10min
- Inferential Statistics8hr 55min
- Data Visualisation in Python5hr 5min
- Assignment: Uber Supply-Demand Gap5hr 20min
- EDA Case Study5hr 15min
Machine Learning I
8 Weeks
3 Assignments
- Linear Regression13hr 15min
- Assignment: Linear Regression6hr 15min
- Logistic Regression7hr 50min
- Support Vector Machine8hr
- Unsupervised learning: Clustering8hr 30min
- Unsupervised Learning: Principal Component Analysis7hr 40min
- HR Analytics Case Study8hr
Machine Learning II
8 Weeks
3 Assignments
- Advanced Regression12hr
- Boosting8hr 10min
- Tree Model (optional)12hr
- Time Series (optional)18hr
- Neural Networks (optional)10hr
- Model Selection4hr 45min
- Model Selection: Practical Considerations3hr
- Telecom Churn Case Study10hr 40min
Big Data and SQL
5 Weeks
2 Assignments
- Advanced SQL9hr 10min
- Data Analysis Using SQL7hr 40min
- Assignment - SQL8hr 40min
- Introduction to Big Data50min
- Big Data Storage and Processing Framework - Hadoop5hr 25min
- Big Data Ingestion and Processing7hr 40min
- Big Data Processing Using Apache Spark8hr 55min
- NYC Parking Case Study: Apache Spark9hr 30min
Elective - Deep Learning and Neural Networks
10 Weeks
1 Assignments
- Convultional Neural Networks20hr
- Convultional Neural Networks - Industry Applications10hr
- Introduction to Neural Networks15hr
- Assignment: Neural Networks15hr
- Neural Networks Project - Gesture Recognition20hr
- Recurrent Neural Networks15hr
Elective - Natural Language Processing
10 Weeks
3 Assignments
- Building Chatbots with Rasa20hr
- Lexical Processing10hr
- Syntactic Processing15hr
- Assignment: Syntactic Processing15hr
Elective - Healthcare
10 Weeks
3 Assignments
- Understanding the Healthcare Domain1hr 45min
- Provider Analytics2hr 40min
- Payer Analytics8hr 30min
- Assignment: Payer Analytics45min
- Analytics in the Pharmaceutical Industry4hr 25min
- Course Wrap for Healthcare15min
- Capstone: Healthcare40hr
Elective - E-commerce
10 Weeks
3 Assignments
- Introduction to E-commerce1hr 5min
- Recommendation Systems1hr 35min
- Assignment: Recommendation Systems4hr 30min
- Price Optimisation3hr 35min
- Market Mix Modelling3hr 55min
- A/B Testing (optional)50min
- Course Wrap for E-commerce30min
- Capstone: E-commerce40hr
Elective - BFSI
10 Weeks
3 Assignments
- Introduction to Banking and Financial Services2hr 5min
- Acquisition Analytics3hr 20min
- Assignment: Acquisition Analytics4hr 30min
- Engagement Analytics2hr 45min
- Risk Analytics4hr 15min
- Course Wrap for BFSI30min
- Capstone: BFSI40hr
Industry Projects
Learn through real-life industry projects sponsored by top companies across industries
- Collaborative projects with peers
- In-person learning with expert mentors
- Personalised feedback to facilitate improvement
Spark Funds Investment
Spark Funds is looking for new avenues to invest its surplus funds in the startup ecosystem. Help the fund identify the geographies and sector for its investment to maximise their return.
Learn More
Uber Supply-Demand Gap
Use analytics to identify why Uber sometimes faces a supply-demand challenge and what can be done to overcome it.
Learn More
Creditworthiness of Customers
Learn how Predictive Analytics can be used to decide the creditworthiness of customers and whether they are issued a credit card or not
Learn More
E-commerce Market Mix Modelling
E-commerce websites often face the challenge of how much to spend on which marketing channel. Use modelling to help them figure out the optimal spend across channels to drive sales.
Learn More
The upGrad Advantage
Strong hand-holding with dedicated support to help you master Data Science
Regular 1-on-1 interaction with Industry Experts
- Discussions on career growth and industry expectations
- Feedback on project work and assignments
Dedicated Student Success Mentors
- Help in learning plans ensuring consistent progress
- Resolve non-academic queries for smooth learning experience
Doubt Resolution on Q&A Forums & WhatsApp Groups
- Timely doubt resolution by qualified teachers
- Regular live Q&A sessions with experts
Networking with Industry Experts & Peers
- Live sessions by industry experts on relevant topics
- Interaction with experts and peers in online and offline events translating into new job opportunities
Job Placement Assistance
- Personalised resume building exercise
- Mock interviews with our hiring experts
- Job Interviews with 250+ hiring partners
Career Transition Handbook
Learn more about successful career transitions from PG Diploma in Data Science by IIIT Bangalore
Download Now
Student Reviews
Vibhor Srivastava
The PGD-DA course from upGrad and IIIT-Bangalore has been a boon for me and it has helped enhance my skills in Excel, SQL, R, etc.
Detailed Review
Rutuja Mowade
It doesn’t matter what your previous working background is, as everything is taught from the basics.
Detailed Review
Anshu Srivastava
Group case studies really give a sense of teamwork, as it happens in regular classroom studies. It teaches us coordination and right attitude as a team player in meeting all the deadlines.
Detailed Review
Gangadhar Mathyam
They will prepare you how to face Data Science job interviews. Along with this, upGrad will also provide mock interviews and mock mcqs tests to check your capability for the interviews.
Detailed Review