Data Analytics and Business Intelligence (8696.4)
|Level:||Level 3 - Undergraduate Advanced Unit|
|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 2019 Winter Term DR Yibe ALEM (Ph: +61 2 62068309 ) ON-CAMPUS 2019 Semester 2 DR Yibe ALEM (Ph: +61 2 62068309 ) ON-CAMPUS 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, 2019, ON-CAMPUS, BRUCE (192649) - View
- Winter Term, 2019, ON-CAMPUS, BRUCE (185604) - View
- Semester 2, 2018, ON-CAMPUS, BRUCE (190349) - View
- Winter Term, 2018, ON-CAMPUS, BRUCE (182354) - View
- Winter Term, 2017, ON-CAMPUS, BRUCE (166043) - View
- Winter Term, 2016, ON-CAMPUS, BRUCE (152498) - View
- Winter Term, 2015, ON-CAMPUS, BRUCE (141217) - 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 PG.
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, 2019
- Winter Term, 2019
- Semester 2, 2018
- Winter Term, 2018
3 hours per week.
Introduction to Statistics or a similar unit. Restrictions: This unit is not open to students who have passed Data Analytics and Business Intelligence PG.