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Do they really get better? I'm either going to jump straight to the (R) Statistical Inference course from JHU, or switch to the Berkeley/EdX Spark course.
I use a lot more Spark in my day job than R, but I really should learn statistics more formally.
⬐ rz2kI thought they got better compared to the first few classes, but they do really revolve around R. For a rigorous treatment of the subject matter, the MITx course on Probability is really good.  You could also take a look at the two JHU "Mathemtical Biostatistics Bootcamp" courses. Those are also quick compared to the MITx course, but a little more careful about the math than the courses in the data science specialization are.
I haven't ever used Spark, and I like R, but I am going to take the Berkeley/EdX course.
Looks like this may be Prof. Leek's course mentioned at the end of the article: https://www.coursera.org/course/statinference
Also there was previous HN post on p-values, which I found really interesting: https://news.ycombinator.com/item?id=9330076
Also this Nautilus article: http://nautil.us/issue/4/the-unlikely/sciences-significant-s...