The availability of data combined with new analytical tools have fundamentally transformed the sports industry, and in basketball in particular, analytics have shaped how the sport is played at both the amateur level and the professional level. In this talk, I show how Jupyter Notebook combined with powerful analytical tools such as Apache Spark and visualization tools like Matplotlib and Seaborn assist data science. Specifically, I will show using data from the past 35 years, how analytics has led to increased shooting efficiency and a 3-point revolution in basketball, that has started in the NBA and trickled down to college basketball. In addition, I will also demonstrate a typical data science workflow, connecting to Apache Spark and a PostgreSQL database from Jupyter Notebook and using common visualization tools to analyze and visualize data. This talk, while focused on sports analytics, is geared towards a general audience who is interested in learning how data analytics has transformed an entire industry.
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