Course Outline

Last revised: 2013.05.27

1. Day 1: Introduction to Working with Open Data
2. Day 2: Review of Python and iPython (Chap 3 and Chap 13)
3. Day 3: Getting started with pandas and NumPy I
4. Day 4: Getting started with pandas and NumPy II
5. Day 5: Pandas Cont'd / Introduction to Matplotlib / Projects
6. Day 6: Project Brainstorming and Team Formation
7. Day 7: Preparing for Courtlistener / Branching out to the Wikipedia, Freebase / Projects...
8. Day 8: Courtlistener
9. Day 9: Reflection: Courtlistener, Homework, Projects, Knight Challenge
10. Day 10: Pip, Fixed Column Data, Freebase
11. Day 11: Project Proposals and Pandas!
12. Day 12: UC Data Lab and Data for our projects
13. Day 13: Project Proposals and Continuing to Learn PfDA
14. Day 14: Time, Space, and Baby Names
15. Day 15: Midterm Preparation / Cloud Computing Teaser / Study Hall
16. Day 16: PiCloud / AWS / CommonCrawl
17. Day 17: Mid-term Exam
18. Day 18: CommonCrawl
19. Day 19: PiCloud, CommonCrawl revisited, Projects
20. Day 20: Guest Speaker: Fernando Perez
21. Day 21: The last stretch
22. Day 22: Finishing up PiCloud work and preview of Juriscraper workshop
23. Day 23: Projects
24. Day 24: Projects II
25. Day 25: Projects III
26. Day 26: Guest Speaker: Eric Kansa on Open Context
27. Day 27: Project Presentations I
28. Day 28: Project Presentations II
29. Day 29: Open Data Project Exhibit

Old plans:

1. Review of Python & iPython (Chap 3 and Chap 13) + setup EPD
2. NumPy and Getting started with pandas I (Chap 4, 5)
3. Open Government Data I: US Census data: introduction how to work with
4. Plotting and Visualization (Chap 8)
5. Data Loading, Storage, and File Formats (Chap 6)
6. Wikipedia: API, data structure
7. NumPy and Getting started with pandas II (Chap 4, 5)
8. Freebase, dbpedia, wikidata
9. Data Wrangling: Clean, Transform, Merge, Reshape (Chap 7)
10. working with geodata I
11. JavaScript-based visualization I
12. Publishing open data including LOD
13. Google Refine
14. working with geodata II
15. JavaScript-based visualization II
16. MIDTERM (Day 17, 2013-03-19)
17. ????
18. Wikipedia II
19. Data Aggregation and Group Operations (Ch 9)
20. Time Series (Ch 10)
21. Financial and Economic Data Applications (Ch 11)
22. ????
23. Open Government Data II
24. Advanced NumPy (Ch 12)
25. PyData Misc I / Working on Projects
26. PyData Misc II / Working on Projects
27. Project Poster Session

To be scheduled:

1. open scientific data (w/ guest lectures)
2. using licensed UC Data Lab resources
3. 1 to 3 more outside speakers

Can we fit other topics?

1. open music data, open bibliographic data, etc (- open bibliographic data (e.g, the Harvard dataset,OCLC, HathiTrust))

slide 8/25

* help? contents?