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BSMS2002 - Business Analytics
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BSMS2002 - Business Analytics
450 words
2 min read
| Field | Value |
|---|---|
| Course Code | BSMS2002 |
| Level | Diploma Level Course |
| Credits | 4 |
| Type | Data Science |
| Pre-requisites | BSMS2001 - Business Data Management |
| Videos | YouTube Playlist |
📖 Description
The problems faced by decision makers in today’s business environments are extremely complex. Hence, the task of making good decisions is not easy. The answer is in building quantitative models, and this course is designed to help you understand the fundamentals of this critical, foundational, business skill. The business application of statistical methods is the core focus of this course. In that sense, the course builds on the core course in the first year of the program. That basic course focused on the preliminaries of the area. This course highlights a business application and then demonstates an application of a statistical techique to solve that scenario and arrive at the best decisions and insights.
🗓️ Weekly Syllabus
| Week | Topic |
|---|---|
| Week 1 | Data dashboarding Insights from data summary |
| Week 2 | Can summarizing the data provide insights? |
| Week 3 | Do people in different cities prefer different |
| brand? | |
| Week 4 | Predicting the stock returns – Regression basics |
| Week 5 | How do you pay a professor? – Regression diagnostics - Path variables |
| Week 6 | Can I cure cancer? – Logistic Regression - Connection with classification problem |
| Week 7 | What is the impact of repeatedly watching the same ad? Repeated measures ANOVA |
| Week 8 | When the data has a time axis: Time series modeling |
📚 Books & Resources
Prescribed Books
The following are the suggested books for the course:
SF Robert E Stine and Dean Foster, Statistics for Business: Decision Making and Analysis, Pearson. NCT Paul Newbold, William L. Carlson and Betty Thorne, Statistics for Business and Economics, Sixth Edition, Pearson. ASW David R. Anderson, Dennis J. Sweeney and Thomas A. Williams, Statistics for Business and Economics, Ninth Edition, Cengage Learning. Keller Gerald Keller, Managerial Statistics, 9 Edition, Cengage Learning. LR Richard Levin and David Rubin, Statistics for Management, Seventh Edition, Pearson.
📝 About the Instructors
Prof. Rahul R Marathe
Professor,
Department of Management Studies,
IIT Madras
Rahul R Marathe is a Associate Professor at IIT Madras in the Department of Management Studies. He obtained his Ph. D and M.S from Iowa State University in Industrial Engineering and Statistics, and his B.E in Production Engineering from Mumbai University.
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