In this course the learner will be shown how to generate forecasts of game results in professional sports using Python. The main emphasis of the course is on teaching the method of logistic regression as a way of modeling game results, using data on team expenditures. The learner is taken through the process of modeling past results, and then using the model to forecast the outcome games not yet played. The course will show the learner how to evaluate the reliability of a model using data on betting odds. The analysis is applied first to the English Premier League, then the NBA and NHL. The course also provides an overview of the relationship between data analytics and gambling, its history and the social issues that arise in relation to sports betting, including the personal risks.
WV
Very interesting course, even though some of the data prep is kind of weird it's nice to see things done a bit differently
BB
I found the material from weeks 2 and 4 very interesting!
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This course covers basics of modeling in form of logistic regression.
The course is worth for those who want hands-on experience/beginning in pandas/python data science coding and those who are already familiar with mathematics & statistics of regression
Excellent course
I found the material from weeks 2 and 4 very interesting!
An interesting course with some great insights, but just like the first two courses in the specialization, it suffers from sloppy production, careless editing, poor presentations (Szymanski is good though), and almost complete abandonment by the course authors. What is frustrating is not the course's current state but the opportunities missed (or simply not taken) to present a great, neat, tidy, and wholesome course with just a bit more attention and care. Module 5 on gambling is a fascinating addition to the course! The assignments are getting repetitive and tedious at this point through the specialization though, just doing the same two or three basic things over and over again. All in all, a passable offering, but it could be so much better! What a pity.
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 !!!
Very interesting course, even though some of the data prep is kind of weird it's nice to see things done a bit differently
thanks