For years, I have wanted to see a statistics course that is not a math class. So I made one myself. The title of the course is "How to do statistics without really doing statistics?". It's on a new online learning platform called Three Nights and Done. There are three hours worth of materials divided into three or four chunks each hour.
Here is the link.
I'd love to hear some feedback. Please leave a comment here.
PS. Errata. I have requested these be fixed. But until that time, please note:
Night 2 - Part 3: at the start of the discussion of the Monty Hall problem (roughly 6:56), there is a duplicated segment which you will hear again later in the same recording. This can be very confusing to those who don't know what the Monty Hall problem is. You should skip from 6:56 to 8:53 (redundant), then the flow is maintained.
Night 3 - Part 1: the introductory comments to Night 3 went missing, and will be added back. Here is the transcript: Class 3 is based on my new book Numbersense. The premise of the book is that the world of Big Data is very confusing, and filled with claims and counterclaims. A key skill is how to analyze and interpret other people's data analyses. The book gets at different aspects of Numbersense. In Class 3, I focus on two fundamental ones: knowing how data is collected, and knowing how data is processed. These two sound simple; they are anything but. Data collection and processing is a very messy world, and very arbitrary as well. However, these are two really important things to know. If you come across a study that does not disclose details of how data was collected and processed, you should be highly skeptical about the results.
Night 3 - Part 3: start listening at 12:53. the segment before 12:53 is an exact copy of the end of Part 2.