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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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Konten disediakan oleh Harvard Data Science Review. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Harvard Data Science Review atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.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 episode

Artwork
iconBagikan
 
Manage episode 372295559 series 2951869
Konten disediakan oleh Harvard Data Science Review. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Harvard Data Science Review atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.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 episode

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