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Math behind Moneyball

Math behind Moneyball

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8.1/10 (Our Score)
Product is rated as #260 in category Data Science

Learn how probability, math, and statistics can be used to help baseball, football and basketball teams improve, player and lineup selection as well as in game strategy. The University of Houston System’s four universities and six regional campuses comprise the only comprehensive higher education system serving the world’s energy capital and the Gulf Coast region. Among institutions nationwide, the UH System remains a model of diversity and a reflection of the city it serves.

Instructor Details

Specification: Math behind Moneyball

Duration

18 hours

Year

2016

Level

Beginner

Certificate

Yes

Quizzes

No

10 reviews for Math behind Moneyball

4.3 out of 5
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  1. Nelson C

    Useful, broad, and practical.

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  2. Francisco J F N

    Great course! I suggest to everyone interested in sports analytics to do this course. It is difficult to find courses like this focused on sports analytics.

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  3. hasanalanam

    Pretty good course where you learn how to analyse performance via various statistical analysis techniques. You also learn quite a bit in MS Excel.

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  4. Bret

    Wow, this is quite the crash course in sports analytics and Excel tricks! I was familiar with most of the concepts, but enjoyed seeing how easily all of these advanced stats could be calculated, and learned some really useful Excel functionality (what if analysis, solver). The amount of material that is covered is really impressive! Biggest problem with this course: it doesn’t turn up when you search for “sports analytics” in Coursera’s search luckily for me mooclist.com knows about it

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  5. Scott P

    Great course, however very heavy emphasis on Baseball and NFL. Resultantly some of the assessment questions proved impossible given the knowledge needed about the sport.

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  6. Michael S

    This is one of the very the best classes I’ve ever taken. It provided the tools in Excel and the methods to model various sports outcomes so that I can start creating my own models. The examples were wide ranging and interesting. I thoroughly enjoyed listening to Professor Winston and appreciated all the additional references he pointed out during the lectures. I would love to see a second course in sports analytics . I do wish this course was called “Introduction to Sports Analytics”, or “Sports Analytics I” so it would be easier to find. It seems like this course should have many more reviews than it does. Also, some of the course data may need updated. Highly recommended to anyone interested in sportsbetting or fantasy sports.

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  7. Javier O

    Excellent course if you like statistics, probabilities, and how to linh sport with math. Well explained. Maybe it needs more “movement” on forums

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  8. Steven M

    I am equally disappointed in Coursera and the instructor. Test 18 provided a dead link for how we were supposed to solve the problem and there was no instruction on how to complete otherwise. I reached out to Coursera on multiple occasions asking for support and was basically ignored not counting a couple of useless responses. I will never take a Coursera course again after the embarrassing level of customer service and given the fact the course clearly had not been updated in so long that the content was so far out of date that we are receiving dead links to content. I was supposed to complete this course months ago and am just finishing now because the only way to finish this test was to blindly guess at numbers and loosely make some of those guesses based off of the feedback from other students who were struggling with this on the discussion board as well. It’s a shame I leave with this impression because the course has potential and I did learn a fair amount from it, but I will not get past how poorly I was treated by Coursera’s customer service and how little they cared that the course was setting students up for failure. I took this course because I do not have a strong analytics skill set and it was described as being for beginners. This content missing makes that a completely misleading description as we were not provided the knowledge or content necessary to successfully complete this course in the appropriate amount of time.

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  9. John T

    If you want to understand why some of the excel formulas are used you need to books recommended in the course. With the instructor just doing voiceover with excel there isn’t a lot of depth given. Still, pretty cool to see how decisions and betting done using data

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  10. Hanye L

    This is a very enlighting course for me, as an esports analyst, I found many analytic methods in traditional sports inspirational. Thank you, Prof.Winston

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