This GitHub Repository contains all the course materials for my undergraduate business forecasting course at Miami University; an introductory course on forecasting and time series analysis.
The raw .Rmds for all presentations can be found under the folder titled lectures. The schedule below has links to the associated GitHub Pages where the generated HTML slides are hosted.
| Week | Date | Topic | Slides (Hosted Page) | Slides (PDF) | Slides (PPTX) |
|---|---|---|---|---|---|
| 01 | 08/29 | Introduction to Time Series Analysis and Forecasting | 01_intro.html | 01_intro.pdf | 01_intro.pptx |
| 08/31 | Introduction to R, Python and LLMs | 02_llms_r_python.html | 02_llms_r_python.pdf | 02_llms_r_python.pptx | |
| 02 | 09/05 | Demo: Data Visualization with ggplot2 and plotnine | -- | -- | -- |
| 09/07 | TS Visualization | 04_ts_eda.html | 04_ts_eda.pdf | 04_ts_eda.pptx | |
| 03 | 09/12 | TS Summaries and Transformation | 05_ts_summary.html | 05_ts_summary.pdf | 05_ts_summary.pptx |
| 09/14 | Forecast Accuracy | 06_forecast_accuracy.html | 06_forecast_accuracy.pdf | 06_forecast_accuracy.pptx |
- The Spring 2023 version of the course can be accessed by clicking on the tag titled spring2022.
- The organization of the course is inspired by Dr. Allison Jones-Farmer's teaching of the class in Spring 2020. I am extremely thankful that she was willing to share her course materials with me. I have learned a lot from how she set up her course and for her vision for this undergraduate course.
- In our course, we are using the Principles of Business Forecasting Book by Ord, Fildes & Kourentzes. Therefore, the structure of my lecture notes follows the material in the book (but in many cases with updated examples and additional details based on my research and/or the excellent material created by Dr. Allison Jones-Farmer.
- I did my best to add references whenver possible. If I missed a reference, please let me know.
- If you have identified mistakes/typos, please let me know.