Ratings and Reviews for Moneyball and Beyond

No adapted to non-American students, would require more contextual information about the rules of baseball to be fully understandable. Otherwise nice real life example of how statistics are used to improve team outcomes and economical interests.

Excellent course, really enjoyed it even as someone who doesn't follow baseball

Was a very nice course and enjoyed it a lot!

thanks

IN GENERAL TERMS I LIKE IT ALL, WITH THE EXCEPT THAT I COULD NOT FINISH THE SPECIALIZED PROGRAM BECAUSE I DID NOT UNDERSTAND THE QUESTIONS OF COURSE NUMBER 5, THE TEACHER ASKS THINGS THAT HE DOESN'T EXPLAIN, AND WHAT IT EXPLAINES DOES NOT DO IT WITH CLARITY !!! I AM NOT AN EXPERT IN PYTHON, BUT LITTLE BY LITTLE I WAS LEARNING SOMETHING NEW, BUT COURSE NUMBER 5 SEEMED IMPOSSIBLE. I AM AN EXPERT IN ANALYZING SPORTS STATISTICS, AND I TAKEN THE SPECIALIZED PROGRAM BECAUSE I WANTED TO LEARN NEW THINGS THAT WILL HELP ME IN MY JOB; AND IN COURSE 4 I LEARNED MANY NEW AND VERY INTERESTING THINGS; BUT I COULDN'T FINISH THE SPECIALIZATION BECAUSE COURSE NUMBER 5 IS ANTI-PEDAGOGICAL IF YOU ARE NOT AN EXPERT IN PYTHON I DO NOT RECOMMEND THIS COURSE !!!

I could not have been more disappointed in this course. Its lack of depth, both mathematically and from a sports analysis perspective, shocked me. This course spends almost no time at all on WHY any of the statistics presented are used. Nor on how to develop models to evaluate sport performance. Rather, it focuses almost entirely on prescriptive steps on how to calculate basic stats models. And, given all the time that is spent just walking through the code, one might expect that it is instructive and well-written. Sadly, that is not the case. The code for the course DRAMATICALLY under uses the power of the libraries included (Pandas and Numpy). Effectively, the first 4 weeks of the course are just tediously walking through dozens of convoluted lines of code, to do something that could have been 2 lines by simply using Pandas built-in functions. So, if you are interested in learning about statistical analysis methods for sports, you can literally watch the first video from week 5 and get 95% of the value of this course without having to slog through 4 weeks of (badly) coding up basically 2 regressions, only to prove that when two different people do the same math, they will arrive at the same result. If you are interested in learning how to use Python to do sports analysis, AVOID THIS CLASS COMPLETELY!! The lectures contain no information about how to apply any of what’s covered to anything outside of the one example given. AND, the code is so needlessly convoluted, it’s clear that whomever wrote it did NOT know how to use the tools available to them. So, if you are newer to Python, this course would be a little like trying to learn how to cook in an Italian style, by listening to someone read a recipe for canned spaghetti.

Some baseball concepts are complex for european people. But the content of the course is really interesting and very well explained.

An excellent way to develop Python skills to interesting topics.

Good

I learned a lot about baseball and the Python language. Thank you for the great course.