Introduction to Data Analytics (MGMT90215)

Graduate courseworkPoints: 6.25Not available in 2018

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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: 3 November 2022

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: 3 November 2022

Assessment

Additional details

  • Multiple-choice on the advantages and uses of data analysis and analytical methods in contemporary organizations (30 mins) 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 (2000 words) due four weeks after the class (80%).

Last updated: 3 November 2022

Dates & times

Not available in 2018

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: 3 November 2022

Further information

Last updated: 3 November 2022