Bewertung und Feedback des Lernenden für Foundations of Sports Analytics: Data, Representation, and Models in Sports von University of Michigan

Great course! The lectures focus on the hands-on application of analytics techniques; with slides of theory and math kept to a minimum. The quizzes are of easy to moderate difficulty, and help reinforce the concepts learnt in the lecture. The material of the course will be of interest to anyone who enjoys extracting insights from data, even if you aren't much of a sports fan. I’m excited for the next course in the specialization!

Overall it was a good course. It covers the basic of Sports Analytics and it has a lot of good examples and datasets.

Me parece un excelente curso para un primer vistazo sobre como analizar el rendimiento tanto individual como de equipo en deportes, me pareció muy interesante mezclar habilidades de ciencia de los datos junto con mis gustos por los deportes.

Great material and well paced for people working. One instructor is a bit green though.

T​his course does a very poor job of actually teaching the concepts presented in it. There is a lot of "copy/paste" instruction, with almost no explanation of what is being done or why, at either the technical level (i.e. why are calling this function or method) or a the theoretical level (i.e. why a visualization or data interaction is useful). It does touch on a many basic foundation for interacting with data (which is the only reason I'm not giving it 1 star), but from an actual instruction perspective, this the worst courses I have finished on Coursera.

Great course. Although this course focuses on sports analysis, the analyzing process I learned from it can apply to any other areas of analysis.

B​est course to interact with data representation programming and libraries, especially for the great sports fan.

I've never been more excited of doing a regression model in my life! Amazing content.

verygood

Great !

perfect

S​ome lectures seem to be unnecessary as they are repetitions of same concepts on different datasets.

Directions are not clear when working on programing assignments and quizzes.