DS 233: Intro to Data Science II

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DS 233: Intro to Data Science II -- Schedule (spring2024)

Tentative - subject to change as course progresses

Date Description Weeks
2/8/2024IntroductionWeek 1
2/13/2024, 2/15/2024Basic Python programming; Getting dataWeek 2
2/20/2024, 2/22/2024Working with data, cleaning and manipulating data; Machine LearningWeek 3
2/27/2024, 2/29/2024k-Nearest Neighbor; Naive BayesWeek 4
3/5/2024, 3/7/2024Simple Linear Regression; Multiple regressionWeek 5
3/12/2024, 3/14/2024Logistic Regression; Practical data analysis catch-upWeek 6
3/19/2024, 3/21/2024Catch-up and review.
Mid-term exam
Week 7
3/26/2024, 3/28/2024 (Spring break, no class)Spring breakWeek 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, 4/11/2024Decision Tree, Neural NetworksWeek 10
4/16/2024, 4/18/2024Catch-up for homework of decision, coronavirus prediction, neural network and final project. Clustering, Natural Language Processing, Network analysis and recommender systemWeek 11
4/23/2024, 4/25/2024Databases and SQLWeek 12
4/30/2024, 5/2/2024Catch-upWeek 13
5/7/2024, 5/9/2024Topics of Data science on social networks, finance data, text mining, bio-tech analysis, web data.Week 14
5/14/2024, 5/16/2024Data science in Business, Biology, Geoscience, etc.
Final project presentation (Report due on May 24th)
Final Exams Review
Week 15
Final exam weekMonday, May 23rd, 11:00am - 12:50pmWeek 16