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Details for BUS104 Introduction to Business Analytics

This subject introduces concepts for a data-driven approach to decision-making. Through real-world case studies and practical software tools, the subject equips students with the analytical skills necessary to understand the different types of data and how to interpret it and generate actionable insights to support strategic business decisions. 

Quick Stats

  • Currently offered by Alphacrucis: Yes
  • Course code: BUS104
  • Credit points: 10

Subject Coordinator

Contact studentsupport@ac.edu.au for more information.

Prerequisite

Nil

Unit Content

Outcomes

  1. Develop an understanding of business analytic theories, principles, and techniques in a contemporary business context
  2. Demonstrate the capability to apply the fundamental tools and techniques used in business analytics;
  3. Select appropriate communication tools for the effective presentation of findings from data analytics that would assist in effective decision making;
  4. Discuss the reliability levels of statistical reports while adhering to ethical standards.

Subject Content

  1. Foundations of Business Analytics
  2. Ethical Considerations in Business Analytics
  3. Data Types and Sources
  4. Role of Data in Decision-Making
  5. Data Cleaning and Preprocessing
  6. Descriptive Statistics and Data Visualization& Communicating Data Insights
  7. Statistical Tools for Business Analysis and Case Analysis
  8. Introduction to Predictive Analytics
  9. Business Intelligence and Reporting
  10. Introduction to Data Mining
  11. Machine Learning Basics
  12. Emerging topics in Business Analytics

This course may be offered in the following formats

  • Face-to-Face
  • E-learning (online)
  • Intensive

Please consult your course prospectus or enquire about how and when this course will be offered next at Alphacrucis University College.

Assessment Methods

  1. Data Literacy Exam (40%)
  2. Group Presentation (Data Analysis) (20%)
  3. Visual Report (20%)
  4. Case Study (20%)

Prescribed Text

  • Camm, J. D., Cochran, J. J., Fry, M. J., & Ohlmann, J. W. (2023). Business Analytics (5th ed.). Cengage.
    Please consult your instructor before purchasing any texts