Most classes will begin with a short lecture and discussion about a topic, technique or published piece of journalism that used data journalism.
This will be a technical course, but the primary goal of the course is journalistic; we hope not to get too bogged down in the fiddly bits of the latest technologies. We'll try to demystify the technological side of things so you feel comfortable getting started and thinking programmatically. By the end of the course, you should be able to ask good questions of datasets, get answers from them, and communicate them effectively to a general audience.
Class meets on Wednesdays from 6:30 to 10 p.m. Kevin and Amanda will also have weekly online office hours (time TBD).
Getting started: configuring your computers, getting software, hacking 101Overview of why we’re all here and getting up to speed with github, the terminal, and all the softare you'll need. We'll also show how you almost never need to start from scratch.
Asking data questions: sort, filter, aggregate, mergeThese four skills are 98% of newsroom data analysis.
Finding hidden data and thinking like a robotYour web browser knows where the data is if you know where to look.
Putting the pieces together, interviewing dataWhat we've done so far adds up to something + adding some journalism.
Aggregating, a way to summarize dataWe pick up skill 4/4 on our data analysis game hunt.
"This is the job." -Lester FreamonWhat your job will really look like. Also, we finish our bold plans for graduation rates.
Walking the walkIt's easy to critique. It's hard to program.
ChartsBar charts and line charts are easy and fun.
Maps and moreYou don't need to be a cartographer, but you should know about maps.
Kevin Quealy — Bald, Minnesotan, talks too much.
Amanda Cox — Sometimes known as the Godfather.
Shan Carter — Developed data viz curriculum in 2013; swell guy