| Date | Description | Weeks |
| 2/5/2026 | Introduction | Week 1 |
| 2/10/2026, 2/12/2026 | Basic Python programming; Getting data | Week 2 |
| 2/17/2026, 2/19/2026 | Working with data, cleaning and manipulating data; Machine Learning | Week 3 |
| 2/24/2026, 2/27/2026 | k-Nearest Neighbor; Naive Bayes | Week 4 |
| 3/3/2026, 3/5/2026 | Simple Linear Regression; Multiple regression | Week 5 |
| 3/10/2026, 3/12/2026 | Logistic Regression; Practical data analysis catch-up | Week 6 |
| 3/17/2026, 3/19/2026 | Catch-up and review. Mid-term exam | Week 7 |
| 3/24/2026, 3/26/2026 (Spring break, no class) | Spring break | Week 8 |
| 3/31/2026, 4/2/2026 | (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 |
| 4/7/2026, 4/9/2026 | Decision Tree, Neural Networks | Week 10 |
| 4/14/2026, 4/16/2026 | Catch-up for homework of decision, coronavirus prediction, neural network and final project. Clustering, Natural Language Processing, Network analysis and recommender system | Week 11 |
| 4/21/2026, 4/23/2026 | Databases and SQL | Week 12 |
| 4/28/2026, 4/30/2026 | Catch-up | Week 13 |
| 5/5/2026, 5/7/2026 | Topics of Data science on social networks, finance data, text mining, bio-tech analysis, web data. | Week 14 |
| 5/12/2026, 5/14/2026 | Data science in Business, Biology, Geoscience, etc. Final project presentation Final Exams Review | Week 15 |
| Final exam week | Wednesday, May, 20th 10:45 a.m. - 12:45 p.m. | Week 16 |