Course outline
This outline is subject to change but should give a rough idea of how the course will move along and what we’ll cover:
Intro
Week 1: Aug 27 and 29
- What is data journalism?
- Examples of data-driven stories
- See! You can code
Data
Week 2: Sep 3 and 5
- Finding data
- Data sources
Week 3: Sep 10 and 12 (substitute on the 12th)
- Public records
Week 4: Sep 17 and 19
- Finding the story in the data
Visual
Week 5: Sep 24 and 26
- Visual design principles
- Examples of visualization-driven stories
Week 6: Oct 1 and 3
- Creating visualizations by hand
- Creating visualizations with existing tools
Coding
Week 7: Oct 8 and 10
- Intro to web programming
- JavaScript, HTML, and CSS
Week 8: Oct 15 and 17
- Making your own portfolio site
Week 9: Oct 22 and 24
- Making your first interactive visualization
Week 10: Oct 29 and 31
- Intro to web scraping
- Python
Week 11: Nov 5 and 7 (substitute on the 5th)
- Scraping your first website
Outro
Week 12: Nov 12 and 14
- How to learn to code yourself
- How to search Google effectively
Week 13: Nov 19 and 21
- Work on final projects
- Miscellaneous topics
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Week 14: Dec 3 and 5
- Artificial intelligence
- Discussion: ethics and big data