I have capital O opinions about how journalism students should learn to analyze data. It involves code and replicable methods. It involves students with no experience writing code every class meeting. Because of that, it requires moving in small increments. And it requires data and questions relevant to their lives. So I've created free online textbooks for them.
I believe textbook prices are out of control. I'll never charge my students for access to this material. If you use them and feel like you want to pay me for it, donate that money to support students in my college. It'll do more good that way and it's a tax write-off.
Text covers basic analysis, data cleaning, scraping, geographic analysis and a few more advanced topics. Students are required to write two data stories in the 16 week semester. Github repo for the book.
Text covers analysis basics, multiple visualization geometries with ggplot2 and some basic scraping. Students are required to create two visual story projects -- a story, three graphics and an in-class presentation of their findings -- during the 16 week semester. Github repo for the book.
Textbook for my How To Get Your Drone License class. Originally written for the Drone Boot Camp at UNL in 2016, updated for the Poynter Drone School's held across the US in 2017.
I wanted to introduce data journalism to a Reporting 1 class, so I wrote this walkthrough of some basic math concepts, how to apply them in a spreadsheet, and how to turn that into a story.