Data Analytics and Business Intelligence PG (8697.4)
|HECS Bands:||2, 4|
|Faculty:||Faculty of Science and Technology|
|Discipline:||Academic Program Area - Technology|
UC - Canberra, Bruce
Year Teaching Period Convener Mode of Delivery 2020 Semester 1 DR Yibe ALEM (Ph: +61 2 62068309 ) ON-CAMPUS 2020 Semester 2 DR Yibe ALEM (Ph: +61 2 62068309 ) ON-CAMPUS
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- Semester 2, 2020, ON-CAMPUS, BRUCE (195585) - View
- Semester 1, 2020, ON-CAMPUS, BRUCE (193957) - View
- Semester 2, 2019, ON-CAMPUS, BRUCE (185310) - View
- Winter Term, 2019, ON-CAMPUS, BRUCE (185605) - View
- Semester 2, 2018, ON-CAMPUS, BRUCE (182358) - View
- Winter Term, 2018, ON-CAMPUS, BRUCE (182355) - View
- Winter Term, 2017, ON-CAMPUS, BRUCE (166195) - View
- Winter Term, 2016, ON-CAMPUS, BRUCE (152412) - View
- Winter Term, 2015, ON-CAMPUS, BRUCE (141152) - View
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This unit introduces students to the tools and techniques of data analytics with application to business intelligence. Students will be introduced to the main tools of data analytics, both descriptive and predictive. Case studies will provide the links to intelligence that businesses, in the broadest sense of the term, can use. The unit is designed to be of interest to students in a range of disciplines including health, education, sport and management.This unit is co-taught with unit Data Analytics and Business Intelligence.
On successful completion of this unit, students will be able to:
1. Source and access data from a variety of databases;
2. Select and apply appropriate tools for data visualization;
3. Select and apply descriptive data analytics methods;
4. Select and apply predictive data analytics methods;
5. Fit statistical models; and
6. Use the results to produce business intelligence in a variety of settings.
UC - Canberra, Bruce
- Semester 2, 2020
- Semester 1, 2020
- Semester 2, 2019
- Winter Term, 2019
- Semester 2, 2018
- Winter Term, 2018
3 hours per week.
Introduction to Statistics G or a similar unit. Restrictions: This unit is not open to students who have passed Data Analytics and Business Intelligence.
- 179JA Graduate Certificate in Statistics
- 844AA Graduate Diploma in Business Informatics
- 843AA Graduate Diploma in Information Technology
- 839AA Graduate Diploma in Statistics
- 309JA Master of Business Informatics
- 845AA Master of Business Informatics
- ITM001 Master of Data Science
- 354JA Master of Engineering
- 846AA Master of Information Technology
- 973AA Master of Information Technology and Systems
- 900AA Master of Technology
- 862AA Professional Doctorate in Information Sciences (Research)