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January 24, 2015

My favorite statistics blog posts of 2014

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One of my goals for 2015 is to start using this blog more actively. I already have some posts half-written in my drafts folder, but I still feel quite insecure about them. Instead of having this insecurity paralyze me and result in no blogging activity at all, I figured I'd start with something nice and simple: a link list.

The past year might have been a bit quiet around here, but I've been reading lots of articles and blog posts on the web that are directly, and sometimes more tangentially, related to my work: statistics and research. While I've been collecting these posts in a notebook in Evernote for myself, wouldn't it be nice if I would also share them with you? Well, that's exactly what's about to happen! Below, you'll find some of my favorite statistics (or related) blog posts of 2014.

  • Speaking of lists, Simply Statistics has become a weekly source of new articles for me to read with their Sunday data/statistics roundup. Here is the first one of 2015! BTW, the guys behind this blog are also the Johns Hopkins professors running the Data Science Specialization on Coursera (which I wrote about a little while ago here).
  • While on the subject of data science, I read this insightful article on getting started in data science by Trey Causey. He goes beyond the regular list of skills you need, and actually provides valuable (often free!) resources for training those skills. BTW, someone also asked the fine members of Quora for insight on how to become a data scientist, and the answers are incredible!
  • Another nice article on the definition and scope of data science was written by Gordon over at Data Miners Blog.
  • Now that you're excited about learning about data science and statistics, I present to you: Statistics Done Wrong, a guide containing the most popular statistical errors scientists make every day. They have a new and improved (or as they say themselves: revised and expanded) version coming out this spring!
  • Flowing Data posted a great overview of the best visualizations of 2014. I wish I could make visualizations that tell a story in such a powerful way.
  • Big data has been a buzzword for quite some time, but what should we actually do with it? Leave it to TED to find the perfect person to tell us. Susan Etlinger enlightens us in 12 minutes.
  • FiveThirtyEight is a great source of news about data and everything related to it. I especially liked this more practical article on which is the fastest check-out lane.
  • Another article looking at the application of statistics to daily issues, asked the question: Can women intuit the sex of their unborn babies? I also think the tagline of this website is quite funny (called Probability and Statistics Blog): In Monte Carlo we Trust.
  • Steven Pinker, an experimental psychologist focusing on linguistics, published an excellent book on the art of writing, titled The Sense of Style: The Thinking Person’s Guide to Writing in the 21st Century. I've been slowly working my way through it, and have hopefully been able to apply some of what I've learned in my academic writing. Pinker also wrote an article for The Chronicle on why academics stink at writing. While an amusing read, what I found more interesting was Andrew Gelman's response to this article (and the comment discussion the followed). To be honest, every article by Andrew Gelman is pretty interesting, so I suggest you start reading them now! ;)

I want to make sharing interesting links a regular feature on this blog, so fingers crossed for many more fun inspiring link round ups!

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