| 00 | What is data science? & Central Tendency | 8/28 (Late due date 9/6) | No homework |
| 01 | Jupyter Notebook | 9/1 (Late due date 9/6) | 9/7 |
| 02 | Numpy & Pandas | 9/8 (Late due date 9/9) | 9/14 |
| 03 | Visualization | 9/15 | 9/21 |
| 04 | Data Wrangling | 9/22 | 9/28 |
| 05 | Probability | 9/29 | 10/5 (Late due date 10/9 so can finish grading for exam) |
| 06 | Combining Data | 10/6 | 10/19 - Because of Fall break and exam |
| Exam 1 | | | |
| 07 | Statistical Inference | 10/20 | 10/26 |
| 08 | Prediction & Supervised Machine Learning | 10/27 | 11/2 (Late due date 11/6 so can finish grading for exam) |
| 09 | Databases & SQL | 11/3 | 11/16 - Because of exam |
| Exam 2 | | | |
| 10 | Deep Learning Day 1, 11/19 | 11/17 | |
| 11/21 | Project consulting and Practicum 2 Update help over Zoom | | |
| Thanksgiving Break | | | |
| 10 | Deep Learning Day 2, 12/3 | | 12/5 (late due date 12/7) |
| OPTIONAL MODULE | Git & Jupyter Notebooks | | |
| 12/5 | Canceled, use the time on your project and HW10 (Last day of class) | | |
