Stefan Szymanski

Stefan Szymanski is an economist whose research focuses primarily on sports. He has published more than 100 papers in peer reviewed journals and written ten books, including the international bestseller Soccernomics (with Simon Kuper). He was born in Nigeria to a Polish father and English mother, lived most of his life in London, until moving to Michigan in 2011.

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Moneyball and Beyond (Coursera)

The book Moneyball triggered a revolution in the analysis of performance statistics in professional sports, by showing that data analytics could be used to increase team winning percentage. This course shows how to program data using Python to test the claims that lie behind the Moneyball story, and to [...]
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Foundations of Sports Analytics: Data, Representation, and Models in Sports (Coursera)

This course provides an introduction to using Python to analyze team performance in sports. Learners will discover a variety of techniques that can be used to represent sports data and how to extract narratives based on these analytical techniques. The main focus of the introduction will be on the [...]
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Prediction Models with Sports Data (Coursera)

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 [...]
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