Here’s your roadmap for the semester!
- Readings should be completed before each class session
- 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 (8/25) |
Introduction to Data Science tools: R, Python, Markdown, Git, command line tools |
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| Week 2 (9/1) |
Version Control & Reproducible Research |
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| Week 3 (9/8) |
Exploratory data analysis |
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| Week 4 (9/15) |
Data visualization |
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| Week 5 (9/22) |
Data cleaning and wrangling |
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| Week 6 (9/29) |
Text Mining |
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| Week 7 (10/6) |
Scraping, APIs, and Regular Expressions |
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| Week 8 (10/13) |
Fall Recess (No class). Midterm Exam |
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| Week 9 (10/20) |
(Midterm Exam due) High performance computing, cloud computing |
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| Week 10 (10/27) |
Managing big data, SQL and non-SQL languages, Google BigQuery |
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| Week 11 (11/3) |
Interactive visualization and effective data communication I |
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| Week 12 (11/10) |
Veterans Day (No class) |
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| Week 13 (11/17) |
Interactive visualization and effective data communication II |
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| Week 14 (11/24) |
Thanksgiving Holiday |
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| Week 15 (12/1) |
Final project workshop: review progress |
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| Week 16 (12/8) |
Final Project |
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</tbody>