| Date | Description | Weeks |
| 2/8/2022, 2/10/2022 | Introduction | Week 1 |
| 2/15/2022, 2/17/2022 | Basic Python programming; Getting data | Week 2 |
| 2/22/2022, 2/24/2022 | Working with data, cleaning and manipulating data; Machine Learning | Week 3 |
| 2/29/2022, 3/3/2022 | k-Nearest Neighbor; Naive Bayes | Week 4 |
| 3/8/2022, 3/10/2022 | Simple Linear Regression; Multiple regression | Week 5 |
| 3/15/2022, 3/17/2022 | Logistic Regression; Practical data analysis catch-up | Week 6 |
| 3/22/2022, 3/24/2022 | Catch-up and review. Mid-term exam | Week 7 |
| 3/29/2022, 3/31/2022 (Spring break, no class) | Spring break | Week 8 |
| 4/5/2022, 4/7/2022 | (Extended spring break on Tuesday)Review mid term, Cloud computing(Google Cloud), Data Ethics Invited talk and discussion about Ethics in data science | Week 9 |
| 4/12/2022, 4/14/2022 | Decision Tree, Neural Networks | Week 10 |
| 4/19/2022, 4/21/2022 | Catch-up for homework of decision, coronavirus prediction, neural network and final project. Clustering, Natural Language Processing, Network analysis and recommender system | Week 11 |
| 4/26/2022, 4/28/2022 | Databases and SQL | Week 12 |
| 5/3/2022, 5/5/2022 | Catch-up | Week 13 |
| 5/10/2022, 5/12/2022 | Topics of Data science on social networks, finance data, text mining, bio-tech analysis, web data. | Week 14 |
| 5/17/2022, 5/19/2022 | Data science in Business, Biology, Geoscience, etc. Final project presentation (Report due on May 24th) Final Exams Review | Week 15 |
| Final exam week | Monday, May 23rd, 11:00am - 12:50pm | Week 16 |