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Introduction to Data Analytics (MGMT90215)
Graduate courseworkPoints: 6.25Not available in 2020
For information about the University’s phased return to campus and in-person activity in Winter and Semester 2, please refer to the on-campus subjects page.
Please refer to the LMS for up-to-date subject information, including assessment and participation requirements, for subjects being offered in 2020.
Overview
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Data analytics is becoming an increasingly important part of contemporary decision-making and strategic analysis. This is equally true in both public and private sector organizations. Sound knowledge of the basic statistical approaches to summarize and analyse data are becoming an important set of managerial skills.
This course is an introductory course on the basics of data analysis and analytics. These include basic data management, methods to summarize data effectively, and regression modelling and analysis. An emphasis will be placed on how such analyses can help guide effective decision-making. The course will also involve a significant amount of hands-on data analysis using the public domain software “R”, and one of the aims of the course is introduce participants to this leading software environment. Participants will have to employ the methods and models covered in the course to solve problems in cases drawn from the contemporary business and public policy environment, and recommend appropriate decisions.
The course also serves as a preparatory course for the further study of more advanced models and methods for data analysis and analytical decision-making.
Intended learning outcomes
On completion of this subject, students should be able to demonstrate;
- An understanding of different types of quantitative data
- An understanding of how to summarise the empirical distribution of data, and create simple visualisations.
- A regression analysis, and draw meaningful inference from the results
- A basic statistical analysis to solve decisions in complex strategic scenarios
- The use the software platform R to undertake basic statistical analysis.
Last updated: 30 January 2024
Eligibility and requirements
Prerequisites
None
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 30 January 2024
Assessment
Due to the impact of COVID-19, assessment may differ from that published in the Handbook. Students are reminded to check the subject assessment requirements published in the subject outline on the LMS
Description | Timing | Percentage |
---|---|---|
Multiple-choice on the advantages and uses of data analysis and analytical methods in contemporary organizations
| To be completed at the end of the second day | 20% |
Essay – employ a regression analysis to recommend an evidence-based decision in the workplace
| 4 Weeks after the end of teaching | 80% |
Last updated: 30 January 2024
Dates & times
Not available in 2020
Additional delivery details
This subject is a quota subject and places are limited. Students may provisionally enrol via the Student Portal, but places are not guaranteed until selection is completed. You will be notified in writing by the Student Centre if you are selected.
The students will be selected on the first come, first served basis. If any student is approaching the course completion date, s/he will get priority in enrolment.
Last updated: 30 January 2024
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Specialist Certificate in Strategic Marketing
Last updated: 30 January 2024