Ratings and Reviews for Foundations of Sports Analytics: Data, Representation, and Models in Sports

Thorough and with lots of practice to help retain information.

The course is moderately interesting from Module 1 to Module 5, but it is not entirely clear who the target audience of the course may be. The course presumes some existing knowledge of Python programming, statistical methods, and the sports included in the course. However, it is not entirely clear to me what learners already equipped with this knowledge are supposed to benefit from this course. In the course, it is demonstrated how these statistical methods can be applied to some selected sports in Python (R is also supported to some moderate extent), but learners who already know Python, statistical methods, and the sports will probably already be able to do this by themselves. If the course is supposed to provide that little extra push that is required to put these all together, it's fine, but you will not actually learn any of these categories, only how to apply them in a very specific context. OK, so then we reach Module 6, where all this collapses in a thunderous rumble. The amount of omissions, glitches, oversights, discrepancies, and pure nonsense in Module 6 is just way too much to even start listing and makes one think what is put out to customers as the final product is in fact some sort of vague first draft of the module, waiting to be further developed and reviewed by an army of content developers. Very disheartening, and one doesn't quite understand why Coursera or the UoM would voluntarily put out such rubbish only to embarrass themselves, when they strictly speaking do not really have to do so. Really, why? It's a mystery! For the moderately engaging and useful content of the first five modules, I am giving this course 2 stars, but the amount of damage Module 6 has visited upon the perceived quality of this course and the reputation of Coursera and the UoM is so devastating that any further benevolence is just simply out of the question. Ah yes, and it would have been great to have a lecturer in statistics who can pronounce the word "statistics" once I am charged for the lectures! Thank you for reading my review.

Excellent course! All of a sudden, I understand statistical concepts I struggled to grasp in undergrad.

O curso é incrível, e nas duas últimas semanas dificulta bastante. É necessário muito foco desde o início para que o processo de aprendizagem seja mais fluído. Vale muito a pena fazer.

This course was amazing I learned a lot of new things by doing this course .

Great introduction, really make you want to know more

cant find data needed for course

Fantastic introduction to Python, engaging and I enjoyed that lots of different sports were discussed.

Really great and informative course, loved the material and the assignments!

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 !!!