Date | Description | Weeks |
2/8/2024 | Introduction | Week 1 |
2/13/2024, 2/15/2024 | Basic Python programming; Getting data | Week 2 |
2/20/2024, 2/22/2024 | Working with data, cleaning and manipulating data; Machine Learning | Week 3 |
2/27/2024, 2/29/2024 | k-Nearest Neighbor; Naive Bayes | Week 4 |
3/5/2024, 3/7/2024 | Simple Linear Regression; Multiple regression | Week 5 |
3/12/2024, 3/14/2024 | Logistic Regression; Practical data analysis catch-up | Week 6 |
3/19/2024, 3/21/2024 | Catch-up and review. Mid-term exam | Week 7 |
3/26/2024, 3/28/2024 (Spring break, no class) | Spring break | Week 8 |
4/2/2024, 4/4/2024 | (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 |
4/9/2024, 4/11/2024 | Decision Tree, Neural Networks | Week 10 |
4/16/2024, 4/18/2024 | Catch-up for homework of decision, coronavirus prediction, neural network and final project. Clustering, Natural Language Processing, Network analysis and recommender system | Week 11 |
4/23/2024, 4/25/2024 | Databases and SQL | Week 12 |
4/30/2024, 5/2/2024 | Catch-up | Week 13 |
5/7/2024, 5/9/2024 | Topics of Data science on social networks, finance data, text mining, bio-tech analysis, web data. | Week 14 |
5/14/2024, 5/16/2024 | 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 |