This Spring quarter 2018 course, GPIM 452, is a self-contained introduction to “data mining, business analytics, and all that.” I have put some information about the textbooks in the previous entry on this blog. If you are trying to decide whether to take the course, take a look at either of the 2 main textbooks, especially their Chapter 2. You can see the $ one without purchasing it using Amazon “Look Inside.” The other one is free, as discussed in the blog entry.
BDA emphasizes decision making, as opposed to hypothesis testing. In other words, it is oriented toward analysts, not academic researchers. Of course, very closely related methods are becoming accepted in the research community. (In Google Scholar, search Hal Varian Machine Learning for discussion by an economist who “crossed over” to Google.)
I will post occasional updates about the course before it starts, both on this blog and on Twitter @RogerBohn #BDA. You can email me with questions, or post them as comments here.
Enjoy the rest of this quarter, and your Spring break.