Ch 16. Sport Analytics Flashcards

1
Q

What is sport analytics?

A

a new field that is growing very fast and there to help decision makers

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2
Q

How did many people learn about sport analytics?

A

through the movie Moneyball

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3
Q

What is the general sport analytic definition?

A

The management of structured historical data, the application of predictive analytic models that utilize that data, and the use of information systems to inform decision makers and enable them to help their organizations in gaining a competitive advantage on and off the field.

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4
Q

What is data management?

A

effectively collecting sports data and scraping the data from a website

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5
Q

What are statistical models?

A

how apply statistical models to analyze sport data

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6
Q

What are the different Information systems found in sports analytics classes?

A

DT Visualization
Tableau
Ggplot2 in R
Websites

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7
Q

What is the ultimate goal of sport analytics?

A

to inform decision makers to help them gain a competitive advantage

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8
Q

What is the General Manager’s main responsibility?

A

win games, be profitable, and make good decisions

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9
Q

What does a data analyst do?

A

provide useful information from data analysis

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10
Q

What is RSAT

A

Rice Sport Analytics Team

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11
Q

What are the two sport analytics conferences?

A

New England Symposium on Statistics in Sports (held by Harvard) and MIT Sloan Sports Analytics Conference

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12
Q

What are the three sport analytics competitions?

A

NFL Big Data Bowl
SABR Analytics Conference
Baylor Competition

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13
Q

Are there research opportunities in the sport analytics department?

A

YES

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14
Q

What are the characteristics of a career in sport analytics?

A

job market is very competitive with many applications for every job and there are niche positions

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15
Q

How does one stand out in the job market?

A
  • acquire essential skillsets by taking courses
  • build relationships and gain experience
  • showcase your work in public domains
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16
Q

What is under acquiring essential skillsets by taking courses?

A

domain knowledge, data analysis, and communication

17
Q

What is under building relationships and gain experience?

A

professors, internships, and conferences

18
Q

What is under showcasing your work in public domains?

A

Twitter, GitHub, and Blogs