Ratings and Reviews for Inferential Statistical Analysis with Python

I found it a lot more interesting than the first one. Better examples, better structure. My only complain: I do realize that week 4 was meant to be as an overview of the course, but... the structure of week 4 is much much more clear than for the 1-3 week. I for one, wish i watched week 4 first. Why i say that ... because the examples were all over the place... at some point i wasn't sure if i was supposed to use a t-test or a z-test. Some examples were repeating themselves throughout the course. Sometimes the code presented in the video was not the same as the one present in the lab files. I can say that at the end of first 3 weeks...i understood almost everything there is about the inferential aspect of statistics...but... the python part was a complete mess. After week 4 & this: Statistics 350 – Formula Sheet (umich.edu) ... everything became clear. The link should be provided in the course... I stumbled on it by accident in the forum section.

Fantastic! I really liked how the course showed the groups of tests (one test, paired test, difference) and then bucketed it by proportions vs means. I also really liked how the course tied hypothesis testing with confidence intervals to really get a sense of how it all ties together. The python piece is good. I have some experience with python and pandas, so I was ok. Not sure how easy it would be if you have never worked with python before. Then again, the creators of the course state that you should have some familiarity with python.

Overall it was pretty heavy. A certain delay was observed with the perr-reviewed assignment, but the content is quite good. It is a step-up from Course 1 however, and the pace has increased quite significantly.

Good Course

I learned a huge lot from this Course! I would have loved to have more references on how to account for sample weights and the non-parametric testing part. But the content was super clear and my inderstanding of how statistical inference works change from earth to heaven!

I enjoyed the instructors and course content

this is absolutely a great course. i happy learning this one. the subjects they explained was crystal clear and i would suggest this to my mates.

A very good one, but it would be great if more challenging exercises and examples were added.

It is a excellent course, a lot of examples, guides and lectures than are very helpfull. The only thing that I could change is the use of only normal distribution in all examples, in the real life we must use some other probability distributions and is important to talk more about these.

Great course. Wish there was a little more time spent covering how to do things in python (those videos went very fast and sometimes reading the documentation doesn't help much), but overall Very good!