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:

2018 MIT SLOAN SPORTS ANALYTICS CONFERENCE Workshop

Description

Friday, February 23 11:30 AM – 12:30 PM
Workshops Room

How do you find and convey data that matters? This session will first explain what REST APIs are, why they are useful, and how to utilize them to gather information. Next, this session will explore the JSON data format and its importance to these APIs. Finally, this session will cover creating graphs and visualizations from JSON data retrieved using a REST API.

Speakers
Description

Friday, February 23 1:00 PM – 2:00 PM
Workshops Room

Film study is a crucial tool for players, coaches, scouts and reporters to understand and analyze the game. This session seeks to provide you with an overview of how to access game tape, as well as provide the frameworks and tools required to analyze and draw insights from it.

Speakers
Description

Friday, February 23 4:00 PM – 5:00 PM
Workshops Room

D3 is one of the most powerful Javascript libraries for data visualization, enabling web-based dynamic interactive dashboards. This session will provide an overview of this powerful data visualization tool, covering methods for implementing D3 in a sports coaching environment, and how to code your own D3 dashboards without being a programmer. Session will draw upon real life examples from organizations such as the Australian InstituTe of Sport, the Geelong Cats, University of Oregon, and the Airforce Research Laboratory.

Speakers
Description

Saturday, February 24 10:00 AM – 11:00 AM
Workshops Room

This workshop examines key communication skills for analytics professionals. Developing sound analyses with clear conclusions is an essential first step, but persuading others in your organization to act on this information presents another set of challenges. We’ll explore best practices in audience analysis, message development, and channel choice. Participants will leave with a framework to design and deliver effective data communications to a variety of stakeholders.

Speakers
Description

Saturday, February 24 11:00 AM – 12:00 PM
Workshops Room

Julia, created by a group of MIT professors and PhDs, is one of the fastest growing languages in the field of data science and analytics, and is being applied to a wide-range of optimization problems within the sports world and beyond. This session will cover the basics of how to use this new and exciting programming language, and dive deep into how to use the JuMP package specifically to solve complex optimization problems.

Speakers
Description

Saturday, February 24 1:00 PM – 2:00 PM
Workshops Room

This highly interactive session will show you how R can be used to create compelling visualizations. Attendees will be able to participate in exercises using various R packages to explore and visualize publicly available sports data. No prior knowledge of R is required.

Speakers
Description

Saturday, February 24 2:00 PM – 3:00 PM
Workshops Room

In this workshop we will introduce machine learning techniques that have significant applications in sports analytics. We will start by introducing latent space learning methods with an emphasis on matrix factorization, its generalization on tensors as well as network embedding techniques. Latent space learning can facilitate tasks in sports analytics such as ranking and identifying spatio-temporal patterns. We will also briefly discuss state-of-the-art applications of neural networks in sports.

Speakers