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Big League Advantage and Harvard Sports Analytics Lab: What Do They Do and How Can I Join?

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Manage episode 372295559 series 2951869
Indhold leveret af Harvard Data Science Review. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Harvard Data Science Review eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

In 2022, the sports analytics sector was valued at 2.98 billion USD and is expected to grow to 22.13 billion USD by 2030, at a CARG of 28.7% (source). In today's episode, we do a deep dive into this rapidly growing field from both industry and academic perspectives. What metrics do companies and researchers use to predict the next big winner? How are statistical tools and modeling applied differently to measure an individual player’s performance versus that of a team? How does an aspiring data scientist break into the sports analytics industry? We explore these questions and more with the help of two experts. Listen now!

Our guests:

  • Dr. Mark Glickman, senior lecturer on statistics and head of the Sports Analytics Laboratory at Harvard University
  • Michael Schwimer, founder and CEO of Big League Advantage
  continue reading

48 episoder

Artwork
iconDel
 
Manage episode 372295559 series 2951869
Indhold leveret af Harvard Data Science Review. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Harvard Data Science Review eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

In 2022, the sports analytics sector was valued at 2.98 billion USD and is expected to grow to 22.13 billion USD by 2030, at a CARG of 28.7% (source). In today's episode, we do a deep dive into this rapidly growing field from both industry and academic perspectives. What metrics do companies and researchers use to predict the next big winner? How are statistical tools and modeling applied differently to measure an individual player’s performance versus that of a team? How does an aspiring data scientist break into the sports analytics industry? We explore these questions and more with the help of two experts. Listen now!

Our guests:

  • Dr. Mark Glickman, senior lecturer on statistics and head of the Sports Analytics Laboratory at Harvard University
  • Michael Schwimer, founder and CEO of Big League Advantage
  continue reading

48 episoder

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