My Review of DAB (MGT 6203) Data Analytics in Business
Grade: A
Difficulty: 1/10
Rating: 1/10
Time commitment: 5 hours per week
----------------------------------
Overall
This is arguably the easiest course in the whole OMSA program. This is a perfect summer course to relax or pair with another course during regular semesters. The topics covered include R fundamentals, linear models, survival models, causal inference, text mining, and neural networks. The lecture has a nice flow of presenting concepts followed by R coding demo.
Assignments
-
Homework: Due every 2 weeks. Only takes a few hours at most. Most of the code is given in the lecture demo video. It's all done in R.
Thoughts
This course was too easy and I didn't learn anything new. They tried to follow ISLR book & lecture video and ended up being too rudimentary. They really should make this course optional.
FAQ
-
How much R should I study before taking this class ?
-
Zero. They start gently, so you can just learn R as needed when you work on the homework.
-
Does this course have group project ?
-
No. They used to but not any longer.
-
Is the content identical between the OMSA version and the edX MM (MicroMasters) version ?