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Visualisation and Data Wrangling (BUSA20001)

Undergraduate level 2Points: 12.5On Campus (Parkville)

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Overview

Availability
Semester 2
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This subject provides an introduction to the essential skills for the management of business data to enable the application of analytics and evidence-based decision-making in business. It entails the study of the principles and tools for business data management and modelling. The focus of the subject is enabling business decision-making, and includes consideration of effective presentation and reporting of business data. Data sets will be drawn from multiple industries and business disciplines.

Intended learning outcomes

On successful completion of this subject, students should be able to:

  • Manage common issues in the manipulation of business data of different types (e.g., timestamp, textual data)
  • Collect and compile business data from multiple sources
  • Define appropriate business metrics and variables for a given data set
  • Explain the principles and issues involved in the effective presentation of business data for decision-making purposes

Generic skills

  • Collaborative learning;
  • Problem solving;
  • Team work;
  • Interpretation and analysis;
  • Critical thinking;
  • Evaluation of data and other information;
  • Use of computer software;
  • Application of theory to practice;
  • Oral communication;
  • Written communication;
  • Synthesis of data and other information;
  • Accessing data and other information from a range of sources;

Last updated: 3 November 2022

Eligibility and requirements

Prerequisites

Code Name Teaching period Credit Points
ACCT10001 Accounting Reports and Analysis
Summer Term (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
 12.5

AND

One of

Code Name Teaching period Credit Points
ECON10005 Quantitative Methods 1
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
 12.5
MAST20004 Probability
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
 12.5
MAST20006 Probability for Statistics
Semester 1 (On Campus - Parkville)
 12.5

Corequisites

None

Non-allowed subjects

None

Inherent requirements (core participation requirements)

Bachelor of Commerce

Last updated: 3 November 2022

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

DescriptionTimingPercentage

Three data projects ( in groups of 3-4 students). Each student will contribute the equivalent of 3000 words for all three projects.

  • 3000 words (each)
Throughout the semester60%

Take home exam

  • 1000 words
Hurdle requirement: To pass this subject students must pass the end of semester examination		During the examination period40%

Last updated: 3 November 2022

Dates & times

  • Semester 2
    Mode of deliveryOn Campus (Parkville)
    Contact hoursOne three-hour seminar per week
    Total time commitment170 hours
    Teaching period 3 August 2020 to 1 November 2020
    Last self-enrol date14 August 2020
    Census date21 September 2020
    Last date to withdraw without fail16 October 2020
    Assessment period ends27 November 2020

    Semester 2 contact information

    Derick Lyle: derick.lyle@unimelb.edu.au

Last updated: 3 November 2022

Further information

  • Texts

    Prescribed texts

    There are no specifically prescribed or recommended texts for this subject.

  • Available through the Community Access Program

    About the Community Access Program (CAP)

    This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.

    Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.

Last updated: 3 November 2022