Global Online Certification Course on
Business Analytics
From Data to Insights
and Decision Making
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WELCOME!
WELCOME!
We are thrilled to have you on board for this course.
11th February 2023- 19th March 2023
Saturday & Sunday
5:00 PM -7:30 PM IST (Live Via CISCO Webex)
30 Hours Course - 12 Sessions
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 methods through which organizations, such as businesses, non-profits, and governments, can use data to acquire insights and improve decision-making. Operations, marketing, finance, and strategic planning are just a few of the areas where business analytics is used. The ability to use data effectively to drive rapid, precise and profitable decisions has been a critical strategic advantage for companies as diverse as Dell, Walmart, Google, Nike, Capital One, and Disney.
For example, Walmart uses analytics to monitor and update its inventory in a way that allows it to serve its customers at an exceptionally low cost; Dell applied analytics to segment and better manage its supply chain; and Ford and Schneider Electric use data and analytics to significantly improve the resiliency of their supply chain and better respond to a disruption anywhere in their network.
NITIE, Mumbai is proud to present the Global Online Certification Course on 'Business Analytics: From Data to Insights and Decision Making-2023' in association with Prof. David Simchi-Levi (MIT, USA) under the leadership of Prof. Manoj K. Tiwari (Director, NITIE Mumbai), to accelerate the vision of PM Gati Shakti. This course is launched under NITIE's Centre of Excellence in Logistics and Supply Chain Management which aims to develop India's logistics sector through applied research and industry outreach to tackle real-time business scenarios.
National Institute of Industrial Engineering (NITIE), established in 1963 by the Government of India with the assistance of United Nations Development Project (UNDP) through the International Labour Organization (ILO), is one of the leading institutes for Management education
Today, analytics is an integral part of modern supply chain management — this course should provide you with the foundation you need to understand and apply these methods to drive supply chain value.
COURSE HIGHLIGHTS
Lecture recordings will be provided for 1 week.
Participants will get the opportunity to interact live with Prof. David Simchi-Levi.
Learn key concepts & trends through exhaustive cases & recent happenings in the industry.
Lecture slides and supplementary material after each session.
COURSE CONTENT
Week 1: Introduction to Business Analytics
Week 1: Introduction to Business Analytics
Course Overview
Introduction to Business Analytics
Digital Transformation
Week 2: Prescriptive Analytics
Week 2: Prescriptive Analytics
Optimizing Complex Decisions
Linear Programming Formulation
Demonstration of the Spreadsheet Optimization Method
Shadow Price
Sensitivity Analysis
Week 3: Predictive Analytics
Week 3: Predictive Analytics
Linear Regression
Logistic Regression
Classification & Regression Trees
K-Nearest Neighbors
Bayesian Analysis
Error Types
Week 4: Integrated Analytics
Week 4: Integrated Analytics
Neural Network
Variable Selection Techniques
Categorial Variables
Model Selection
Integration of Techniques
Week 5: Case Study - I
Week 5: Case Study - I
Case study: Supply Chain
Unified View of Demand
Supply Chain Segmentation
Smart Planning & Execution
Supply Chain Resiliency
Week 6: Case Study - II
Week 6: Case Study - II
Case study: Pricing
Online and Offline Retailer examples
Estimating Lost Sales
Price Elasticity of Demand
Error Estimates
Pricing Decisions
Course Summary
About Prof. DAVID SIMCHI-LEVI
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/
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