Data Science. Logistic Regression ★ 4.500

Course is interesting and well-organized. As for the new one who is dealing with R studio, it is quite primitive which is good and should be treated as advantage. However, the last modules should be checked as questions are structured not in a correct way, which is confusing. Also adding the guidance on how to install packages would be an advantage for this course.

It is a good course that can be considered as a practical guide for logistic regression using R. The course gives a recommendation how to make a model selection as well as how to interpret correctly coefficients of a model. For better understanding, two real datasets are used for exercises. The course does not provide to you deep theory or mathematical substantiation. So, I consider this course as a nice supplement to such materials as https://stepik.org/524 (in Russian) or any appropriate textbook (e.g. "Hastie et al. - The Elements of Statistical Learning").