This summer, I’m remixing an alternative textbook for my Fall intro to data science class, and I’m pleasantly surprised by how helpful Creative Commons-licensed journal articles are proving. Shows that “open access” is only part of license’s benefits.
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Unsatisfied with the Intro to Data Science textbook I’ve inherited. Fortunately, an earlier version is Creative Commons-licensed, as are some other fantastic resources. Guess who’s going to remix himself a new textbook for next Fall!
One of my data science students just did a t-test to demonstrate that evil-aligned monsters in D&D 5e tend to have lower Armor Class than good-aligned monsters. This course demands a lot of effort, but moments like this make it worth it.
Teaching R for the first time, and many students are first-time programmers. I’m reminded of teaching French in terms of how easy it is to take for granted things that aren’t obvious to beginners.
I know I’m going to make plenty of mistakes teaching Intro to Data Science for the first time, but one thing I’m already proud of is teaching my students to use <code> tags to format code and output in their Canvas posts.
🔗 linkblog: just finished 'Predictive analytics in child welfare raise concerns - Youth Today'
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