MIS771 - Descriptive Analytics and Visualisation

Year:

2020 unit information

Enrolment modes: Trimester 1: Burwood (Melbourne), Cloud (online)
Trimester 2: Burwood (Melbourne), Cloud (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 or MIS770A* for M722, M751, M761, M661, M755 and S777 students ONLY

Corequisite: Nil
Incompatible with: Nil
Study commitment

Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.

Scheduled learning activities - campus

1 x 2 hour class and 1 x 1 hour laboratory per week

Scheduled learning activities - cloud (online) 11 x 2 hour class (livestreamed with recordings provided) + 11 x 1 hour online seminar/workshop
Note:

*Students who are either enrolled in or have completed MIS770A - please contact a student adviser buslaw@deakin.edu.au

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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