I’ve finished another course of Data Science specialisation: Interference and Modeling. And it was rather hard, because it is based upon all previouse courses. And I was forced several times to go back to refresh my memory. I’m almost in the middle of the way, now.
However I decided to go back and make a good abstract for myself. So I could easily find required information in future. I hope I will do it in a month and will go forward to specialisation in April.
Interference and modeling was mostly about polls predictions and how to predict general outcomes based on a small data sample. Two main examples were Brexit ellection and US presidential election of 2016, that makes following the course rather interesting, but sometimes challenging.
It’s very funny, after course complition, toe read some pro-Kremlin comments that ellection is not a random proccess and could not be analysed using mathematical models.