Here’s your roadmap for the semester!
- Optional reading material to supplement lecture material
- Class materials (slides, in-class activities, etc.) will be added on the day of class
- Assignments are due by 11:59 PM on the day they are due
| Week 1 (8/30) |
Introduction to Data Science tools: R, Python, Quarto, Git, command line tools |
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| Week 2 (9/6) |
GitHub, Version Control, & Reproducible Research |
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| Week 3 (9/13) |
Exploratory Data Analysis |
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| Week 4 (9/20) |
Data Visualization |
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| Week 5 (9/27) |
Data Cleaning and Wrangling |
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| Week 6 (10/4) |
Text Mining & Sentiment Analysis |
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| Week 7 (10/11) |
NO CLASS - Fall Recess. Midterm Project |
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| Week 8 (10/18) |
Scraping, APIs, and Regular Expressions |
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| Week 9 (10/25) |
High Performance Computing, Cloud Computing |
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| Week 10 (11/1) |
Managing Big Data, SQL and Non-SQL Languages, Google BigQuery |
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| Week 11 (11/8) |
Interactive Visualization & Effective Data Communication I |
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| Week 12 (11/15) |
Interactive Visualization and Effective Data Communication II |
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| Week 13 (11/22) |
Final project workshop |
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| Week 14 (11/29) |
NO CLASS - Thanksgiving Holiday |
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| Week 15 (12/6) |
Final Project Due |
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