Introduction to Data Science (in Python)
This page contains an outline of the topics, content, and assignments for the quarter. Note that this schedule will be updated as the quarter progresses, with all changes documented here.
| Week | Date | Required Reading | Lecture Slides | Lab Activity | Weekly Assignment | Exams & Project |
|---|---|---|---|---|---|---|
| 0 | Sunday, January 5 | Welcome to DATA 301! | ||||
| 1 Summarizing Tabular Data | Tuesday, January 7 | Activity 1.1 (Link to Collab) | ||||
| Thursday, January 9 | Visualizing and Comparing Categorical Variables | Activity 1.2 (Link to Collab) | ||||
| Friday, January 10 | Lab 1 Due by Midnight | |||||
| 2 Summarizing & Visualizing Quantitative Data | Tuesday, January 14 (Dr. T’s b-day) |
Visualizing and Summarizing Quantitative Variables | Activity 2.1 (Link to Collab) | |||
| Thursday, January 16 | Multivariate Summaries | Activity 2.2 | ||||
| Friday, January 17 | Lab 2 Due by Midnight | |||||
| 3 Measuring Similarity with Distances |
Tuesday, January 21 | No Class (Classes Follow Monday Schedule) | ||||
| Thursday, January 23 | Distances Between Observations Lecture Activity 3.1 |
Activity 3.1 | Lab 3 | |||
| Friday, January 24 | Lab 3 Due by Midnight | |||||
| 4 Dummy Variables & TF-IDF |
Tuesday, January 28 | Dummy Variables and Column Transformers | Activity 4.1 | |||
| Thursday, January 30 | Bag-of-Words and TF-IDF | Activity 4.2 | Lab 4A Lab 4B |
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| Friday, January 31 | Lab 4 Due by Midnight | |||||
| 5 K-Nearest Neighbors, Intro to Modeling & Midterm Exam |
Tuesday, February 4 | K-Nearest-Neighbors | Activity 5.1 | |||
| Thursday, February 6 | Introduction to Modeling | Activity 5.2 | Midterm Exam (in-class) | |||
| Friday, February 7 | Lab 5 Due by Midnight | |||||
| 6 Classification & Model Selection |
Tuesday, February 11 | Cross-Validation and Grid Search | Activity 6.1 | |||
| Thursday, February 13 | Classification | Activity 6.2 | ||||
| Friday, February 14 | Lab 6 Due by Midnight | |||||
| 7 Logistic Regression & Unsupervised Learning |
Tuesday, February 18 | Logistic Regression | Activity 7.1 | |||
| Thursday, February 20 | Unsupervised Learning with K-Means | Activity 7.2 | ||||
| Friday, February 21 | Lab 7 Due by Midnight | Project Proposal Due | ||||
| 8 Joining Data & Hierarchical Data |
Tuesday, February 25 | Combining Datasets | Activity 8.1 | |||
| Thursday, February 27 | Hierarchical Data | Activity 8.2 | ||||
| Friday, February 28 | Lab 8 Due by Midnight | |||||
| 9 Webscraping |
Tuesday, March 4 | Webscraping | Activity 9.1 | |||
| Thursday, March 6 | Activity 9.2 | |||||
| Friday, March 7 | Lab 9 Due by Midnight | |||||
| 10 Final Posters & Final Exam |
Tuesday, March 11 | Posters Due to be Printed | ||||
| Thursday, March 13 | Final Exam (in-class) | |||||
| Finals Week | Saturday, March 15 10:10am - 1pm | Poster Presentations |