Discover and read the best of Twitter Threads about #SportsAnalytics

Most recents (3)

I'm excited about this next session at #ExploreSAS => "Super Demo: The Science Behind the Batting Lab" by @SASsoftware <= #DataLiteracy At Bat

sas.com/gms/redirect.j…
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#SportsAnalytics #BigData #Analytics #AI #MachineLearning #DataScience #SASVisionary #Data4All #Analytics4All Image
Live session at #ExploreSAS => "Super Demo: The Science Behind the Batting Lab" by Gunce Walton,
Manager for Advanced Analytics R&D at @SASsoftware
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#DataLiteracy #SportsAnalytics #BigData #Analytics #AI #MachineLearning #DataScience #SASVisionary #Data4All #Analytics4All ImageImageImageImage
Read 5 tweets
Predictive Analytics and Metrics

Notes of first half of Chapter 4 from Sports Analytics: A Guide for Managers, Coaches, and Other Decision Makers

Book by @BenCAlamar

#sportsanalytics #SportsDataBookClub
Perhaps the most important attribute for a decision maker in aiding the development of an analytics program is the ability and willingness to ask questions.
Their ability to provide clear and usable analysis is greatly enhanced when decision makers ask
questions not about the analysis but about the decisions that they have to make.
Read 37 tweets
Data and Information

Notes of Chapter 3 from Sports Analytics: A Guide for Managers, Coaches, and Other Decision Makers

Book by @BenCAlamar

#sportsanalytics #SportsDataBookClub
A clear understanding of data and the various types of data is needed. The word “data,” particularly in the context of analytics, is often associated with quantitative data. Quantitative data, however, is just one type of data that is used on a daily basis by decision makers.
Along with quantified data such as box scores and draft-combine results, decision makers use a host of qualitative data. Qualitative data take a variety of
forms, including scouting reports, coach’s notes, and video.
Read 20 tweets

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