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Applied Data Analysis in Sport PG (10157.2)

Level: Postgraduate Level
Credit Points: 3
HECS Bands: 1
Faculty: Faculty of Health
Discipline: Discipline of Sport and Exercise Science

Availability

Unit Outlines

To view your Unit Outline, click View to log in to MyUC and access this information, or visit your unit's online teaching site.

  • Semester 1, 2020, ONLINE, BRUCE (193792) - View
  • Semester 2, 2019, ONLINE, BRUCE (188819) - View
  • Semester 1, 2019, ONLINE, BRUCE (190136) - View
  • Semester 2, 2018, ONLINE, BRUCE (184962) - View
  • Semester 1, 2018, ONLINE, BRUCE (180029) - View
  • Semester 2, 2017, ONLINE, BRUCE (164573) - View
  • Semester 1, 2017, ONLINE, BRUCE (163123) - View

If a link to your Unit Outline is not displayed, please check back later. Unit Outlines are generally published by Week One of the relevant teaching period.

Syllabus

This unit provides advanced knowledge of the management, analysis, interpretation and communication of data related to high performance sport. Students will use the data analysis program R to critically analyse and interpret sports data. The unit will provide students with programming skills to manage sports data efficiently and automate data processes.

Learning Outcomes

On successful completion of this unit, students will be able to:

1. Critically analyse and interpret sports data using the data analysis program R;

2. Effectively visualise and communicate data to a variety of audiences in sport; and

3. Efficiently manage and transform sports data using data science techniques.

Assessment Items

Contact Hours

Online class contact 3.5 hours per week.

Prerequisites

None.

Corequisites

None.

Assumed Knowledge

Basic word processing and spreadsheet capabilities.


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