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  3. Visualisation and Data Wrangling

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: 30 November 2024