Programming with Data Fall 2021
Using R to do data analytics
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ACCT674 Programming with Data
Master of Professional Accounting (MPA)
Singapore Management University (SMU)
Aug to Nov, 2021
In this course students acquire foundational statistical programming concepts and skills through a widely-used programming language (R for this term). Students will also learn how to implement popular statistical learning algorithms using the programming language for data analysis. Upon successful completion of this course, students will be able to use programming techniques to explore how data is used to assess what drives financial performance and to forecast future financial scenarios. Students will understand how financial data and non-financial data interact to forecast events, detect financial discrepancies and frauds, predict corporate default, and determine business strategy. This course has been designed to equip students with algorithmic mind-set to create strategy and make better business decisions
Detailed Lesson Plan
Class sessions are of three-hour duration per session and ten sessions in total.
| Session | Seminar PDF Notes | Seminar Slides |
|---|---|---|
| 1 Introduction | Slides | |
| 2 R Programming (I) | Slides | |
| 3 R Programming (II) | Slides | |
| 4 Forecasting with Linear Regressions | Slides | |
| 5 Regression Forecasts with Seasonality | Slides | |
| 6 Forecasting Walmart Sales | Slides | |
| 7 Forecasting with Logistic Regression | Slides | |
| 8 Logistic Regression for Bankruptcy | Slides | |
| 9 Detection of Corporate Fraud | Slides | |
| 10 TEAM PROJECT PRESENTATIONS |
Wang Jiwei
Associate Professor
My current research/teaching interests include digital transformation and data analytics in accounting.