stats337/README.md at master · hadley/stats337 · GitHub
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Category: Original
A list of things to read that might help teach stats
another reason to be careful about what to control for...a post showing how controlling for SES differences on success in an exam based on test prep
Time to nix the t-test and replace with glm?
how to transition from Excel to R
what you should have been taught about regression
General linear models for beginners
http://www.stats-et-al.com/2018/03/assignments-for-statistical-literacy.html?m=1
https://mikejacktzen.wordpress.com/2018/03/31/the-10-data-science-crack-commandments/
not so standard deviation podcast. Many apply but something about confer Kie season and then episode 54 spot for Microsoft https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570?mt=2
Obtain? Store? Analyze? Interpret? Present?
OSAIP.
What do you do with data? Do you obtain it? Store it? Analyze it? Interpret? Present?
So many things to do…
I sometimes struggle with priorities. Not the big ones, but for instance, should I first learn more python and webscraping, or should I think more about Bayes.
Should I take a course on R and time series, or should I make an SQLdatabase.
Should I try to analyze tweets? To what end? I’m interested in politics, government transparency, gerrymandering, basketball, fighting animal abuse, tracking how money flows into political coffers, so many things.
Stats What I Thought! 