Analytics 2021

Global Online Certification Course on Business and Operations Analytics

Registrations Closed

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Course Supplementary Material

List of successful participants

Registration Last Date: 25th June 2021

Duration: 3rd July ’21 – 5th September ’21 (5:00 PM – 6:30 PM IST | Saturday & Sunday)

Course Instructors

MIT Professor – Business & Supply Chain Analytics
Director, Data Science Lab,
Massachusetts Institute of Technology, USA

Director, IIM Mumbai

About the Course

Business analytics refers to the ways in which enterprises can use data to gain insights and make better Operation decisions. The ability to use data effectively to drive rapid, precise, and profitable decisions has been a critical strategic advantage for companies as diverse as Walmart, Google, Nike, Capital One, and Disney. For example, Capital One uses sophisticated analytic capabilities to match credit card offerings to customers and WalMart uses analytics to monitor and update its inventory in a way that allows it to serve its customers at an exceptionally low cost.

IIM Mumbai is proud to present the Global Online Certification Course on ‘Business and Operations Analytics’ in association with Prof. David Simchi-Levi (MIT, USA).

The course emphasizes that Business and Operations Analytics is not a theoretical discipline: these techniques are only interesting and important to the extent that they can be used to provide real insights and improve the speed, reliability, and quality of decisions.

We have three goals in this course. The first is to help you think critically about data and the analyses based on those data — whether conducted by you or someone else. The second is to enable you to identify opportunities for creating value using business analytics. The third is to help you estimate the value created using business analytics to address an opportunity.

With business analytics being an integral part of modern management, this course should provide you with the foundation to understand and apply analytical methods to drive value.


  • Optimizing Complex Decisions
  • Machine Learning Techniques
  • Optimal Model Selection
  • Integration of Techniques

Course Outcomes

  • Develop critical thinking about the data and the analyses.
  • Learn basic analytics methods and analyse case studies on organizations that successfully deployed these techniques.
  • Identify, evaluate, and capture business analytics opportunities that create value.
  • Estimate the value created using business analytics to address an opportunity.

Course Structure

  • 3rd July ’21 – 5th September ’21
  • 5:00 PM - 6:30 PM IST || Saturday-Sunday
  • 30 Hour Course – 10 Weeks - 20 sessions (1.5 Hours/Session)
  • Mode of Instruction - Live via WebEx
  • Upon completion of the course, all registered participants will receive a Certificate of Completion from IIM Mumbai signed jointly by Prof. David Simchi-Levi and Prof. Manoj K Tiwari
  • Lecture attendance and course participation would be the criteria for course completion
  • Lecture slides and supplementary material will be shared after each session

Course content:

Week 1 Course Inauguration
Course Overview
Week 2 Introduction to Business Analytics
Digital Transformation
Week 3 Optimizing Complex Decisions
Linear Programming Formulation
Demonstration of the Spreadsheet Optimization Method
Week 4 Shadow Price
Sensitivity Analysis
Week 5 Linear Regression
Logistic Regression
Classification & Regression Trees
Week 6 K-Nearest Neighbour
Bayesian Analysis
Error Types
Week 7 Neural Network
Variable Selection Techniques
Categorical Variables
Week 8 Model Selection
Integration of Techniques
Week 9 Case Studies: Retail; Manufacturing; High-Tech
Week 10 Assignment Presentations and Summary


MIT Professor – Business & Supply Chain Analytics

Director,  Data Science Lab, Massachusetts Institute of Technology, USA

  • Prof. David Simchi-Levi is the Professor for Business & Supply Chain Analytics and the Director of Data Science Lab at Massachusetts Institute of Technology, USA.
  • He is the Editor-in-Chief of the INFORMS journal, Management Science, the former Editor-in-Chief of Operations Research, Naval Research Logistics and a member of the board for several scientific journals including Transportation Science and Telecommunication Systems, and a former Area Editor of Transportation for Operations Research.
  • Prof. Simchi-Levi founded LogicTools, now a subsidiary of IBM, which provided software solutions and decision support systems to clients such as Caterpillar, ConAgra, Kraft Foods, Mercer Management, Ryder, SC Johnson, UPS, U.S. Postal Service, Walgreens, etc., and later co-founded OPS Rules, and Opalytics, both now part of Accenture.
  • Prof. David Simchi-Levi had associated with IIM Mumbai for the Global Online Certification Course on Supply Chain Digitization and Management in 2021 which was a highly successful course with over 2500 participants from 13+ countries. (Read More)
  • Profile on MIT website -
  • LinkedIn Profile -

Course Fees

Category Fee Category Registration Fee
(incl. of all)*
Register Here
Participants from India Student Rs. 3,000/- per participant Registration Closed
Academician / Faculty Rs. 6,000/- per participant Registration Closed
IIM Mumbai Alumni Rs. 6,000/- per participant Registration Closed
Industry Professionals / Others Rs. 12,000/- per participant Registration Closed
Foreign Participants Any USD 185 per participant Registration Closed

*Convenience fees may apply

For Bulk Registrations from one organization

Number of Participants Registration Fee (incl. of all)
Students Industry Professionals
11 to 20 Rs. 2,700/- per participant Rs. 10,000/- per participant
21 to 35 Rs. 2,400/- per participant Rs. 8,500/- per participant
36 to 50 Rs. 2,000/- per participant Rs. 7,500/- per participant
51 and above Rs. 1,500/- per participant Rs. 6,000/- per participant

Please write a mail to for more details on bulk registration.

Analytics 2021 Coordinating Team

Click Here for FAQs

For all queries, please Email to:

Student Coordinators:

  • Ms. Priti Bhole || PGDIM – 27
  • Mr. Jyothikrishnan T S || PGDIM – 27
  • Mr. Mohit Gupta || PGDIE - 50

Faculty Coordinators:

  • Prof. (Ms.) Priyanka Verma
  • Prof. (Ms.) Sushmita Narayana
  • Prof. Debabrata Das