Global Online Certification Course on

Business and Operations Analytics 2021


Welcome !

We are thrilled to have you onboard and look forward to meeting you on

Saturday & Sunday

5:00 PM – 6:30 PM IST

3rd July ’21 – 5th September ’21

Course Instructors

MIT Professor – Business & Supply Chain Analytics

Director, Data Science Lab,

Massachusetts Institute of Technology, USA

Director, NITIE 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.

NITIE 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.

Focus

  1. Optimizing Complex Decisions

  2. Machine Learning Techniques

  3. Optimal Model Selection

  4. Integration of Techniques

Course Outcomes

  1. Develop critical thinking about the data and the analyses.

  2. Learn basic analytics methods and analyse case studies on organizations that successfully deployed these techniques.

  3. Identify, evaluate, and capture business analytics opportunities that create value.

  4. Estimate the value created using business analytics to address an opportunity.

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

About Prof. DAVID SIMCHI-LEVI

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 NITIE 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.

  • Profile on MIT website - https://cee.mit.edu/people_individual/david-simchi-levi/

  • LinkedIn Profile - https://www.linkedin.com/in/david-simchi-levi-3045026/