2019 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.

See below for a full list of this year’s topics!

2019 MIT SLOAN SPORTS ANALYTICS CONFERENCE Workshop

Description

Saturday, March 2 3:15 PM – 4:15 PM
Workshop Room

In this workshop, we will explore techniques in data scraping and data visualization. You will be empowered to own a data pipelining process and build your own basketball shot charts!

Speakers
Description

Saturday, March 2 2:00 PM – 3:00 PM
Workshop Room

This session will survey many data scraping techniques using Python 3. We will look at how to discover and pull data from web pages, APIs, and other dynamic sources. These techniques will be demonstrated together by scraping a handful of sports data sites and creating a composite of player stats.

Attendees should come with Python 3 installed, and ideally (though certainly it required) some level of familiarity with the language and its ecosystem.

Speakers
Description

Saturday, March 2nd 12:45 PM – 1:45 PM
Workshops Room

This session covering the ins and outs of Facebook and Instagram advertising, including a hands-on workshopping period where attendees will learn how create, target, and track/analyze ads. Attendees will learn about best practices including demographic, geographic (local and international), and psycho-graphic targeting; how to craft the best content for each ad with text (including native language ads), videos, and photos; and how to target based on business objective (impressions, engagement, conversions, traffic, follower growth, etc.).

If you haven’t already, please set up Facebook Business Manager (https://business.facebook.com) and create an Ad Account (https://www.facebook.com/business/help/910137316041095) before the workshop.

 

Speakers
Description

Saturday, March 2nd 11:30 AM – 12:30 PM
Workshops Room

Tableau is one of the most prevalent and useful BI tools available. This workshop will provide an interactive and hands-on tutorial on how to connect to a variety of data sources, blend them together within Tableau, and build an interactive dashboard. We’ll explore best practices in data engineering, data management, and dashboard design. This workshop will draw upon real life examples from the Oakland Athletics.

If you don’t already have Tableau, download the free trial (https://www.tableau.com/products/desktop/download) prior to the workshop.

 

Speakers
Description

Saturday, March 2nd 10:15 AM – 11:15 AM
Workshops Room

This introductory session will show you how R can be used to build predictive models. Attendees will be able to participate in exercises using various R packages to predict NHL player points using publicly available datasets. No prior knowledge of R is required.

Speakers
Description

Saturday, March 2nd 9:00 AM – 10:00 AM
Workshops Room

SQL is a hugely powerful language for working with data, and sits atop the long list of tools that data analysts and scientists must know to be effective. This interactive session will teach you how to query real e-commerce purchase data in SQL. You will then learn various techniques to analyze the data and produce insights about loyalty and customer value. No prior knowledge of SQL is required.

Speakers