As an academic statistician running the largest data science program in the world (10,000+ have completed a class) I think that CS/Data Science only pose a threat to statistics if we don't adapt. I wrote about it here. http://simplystatistics.org/2013/04/15/data-science-only-pos...
Jeff here - one of the creators of the classes. The great thing we like about this is that you can take the classes for free if you want. You only have to pay if you want the specialization. More info here:
As the author of the guide in question, I feel I should speak up here. Neither frequentist or Bayesian statistics is "just right". It is 100% dependent on the user and whether they use/interpret the quantities correctly. There are both really good and horrible Frequentist and Bayesian statisticians. To imply one or the other is "better" is incorrect and disingenuous. Just my 2 cents.