Workshops

Workshops represent an in-depth interactive presentation that allow attendees to work with an expert in a specific field to gain data analytics experience.  These events are designed for smaller crowds and participants are advised to bring laptops or other equipment, as suggested by the workshop moderator.

This year’s topics include:

2017 MIT SLOAN SPORTS ANALYTICS CONFERENCE Workshop

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This session will provide insight into the MLB arbitration process.

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The session concerns Big Data in the Sports Analytics space in general and specifically how we do Sports Analytics at scale at StubHub. We review at a high level not only general Big Data systems and analytical frameworks, but also walk through how we create recommender systems.

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This session will explore techniques for maximizing concession efficiency and show how one team is using analytics to better serve food and drink to its fans.

 

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This session will dive into the key concepts around how teams analyze and value their corporate sponsor relationships.

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This session will address how to properly maximize the benefits of CRM to consistently reach and stay engaged with fans.

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This session will cover the basics of data scraping from various baseball websites and methods of creating a centralized record of that information.

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This session will explore how optimization techniques can be used across the sports industry and include a tutorial on its application to daily fantasy sports.

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This session will go over tools for scraping the NFL.com webpage, accessing its data feed, performing data manipulation fitting a machine learning model. Many R packages will be used including rvest, ggplot2, dygraphs, dplyr and xgboost.

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This session will cover the basics of working with sports data in a SQL database, including how to select, join, aggregate, and filter data.

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