MIS771 - Descriptive Analytics and Visualisation
| Year: | 2024 unit information |
|---|---|
| Enrolment modes: | Trimester 1: Burwood (Melbourne), Online |
| Credit point(s): | 1 |
| Previously coded as: | MSQ791 |
| EFTSL value: | 0.125 |
| Assumed knowledge: | The unit assumes students have already completed foundational study in statistics at undergraduate level and have some familiarity with basic statistical concepts and inferential techniques. In particular, understanding of descriptive statistics and structure of probability is necessary. |
| Prerequisite: | MIS770, MIS770A |
| Corequisite: | Nil |
| Incompatible with: | MAF256 |
| Study commitment | Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit. This will include educator guided online learning activities within the unit site. |
| Scheduled learning activities - campus | 1 x 2 hour on-campus (livestreamed) lecture (recordings provided) and 1 x 1 hour on-campus practical experience (laboratory) each week |
| Scheduled learning activities - online | 1 x 2 hour recorded lecture provided and 1 x 1 hour online seminar (recordings provided) each week |
| Note: | ^GIFT City (India) offering is available to students enrolled at the GIFT City (India) campus only. |
Content
This unit focuses on the techniques and approaches to analysing business data to support decision making. It covers exploratory data analysis, visualisation of data and evidence-based decision making. The unit aims to give students a broad understanding of statistical approaches used to support business decisions, their limitations, typical application areas, managerial reporting of statistical results and incorporating insights into the business decision-making process. Extensive use is made of software to develop data visualisation and analysis skills and to enhance the appreciation of various techniques studied. The unit assumes students have already completed foundational study in statistics at undergraduate level and have some familiarity with basic statistical concepts and inferential techniques. In particular, understanding of descriptive statistics and structure of probability is necessary.
Unit Fee Information
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