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BU1807 - Business Data Analysis and Interpretation

Credit points: 3
Year: 2020
Student Contribution Band: Band 2
Administered by: College of Business, Law & Governance

Available to Diploma of Higher Education students only

This subject combines statistical methods with material related to subjects taught in the school of business and provides an introduction to data analysis and its use as a managerial tool. Students gain an understanding in recognising and changing raw data into usable information for interpretation in business. Students will develop their quantitative and ICT skills and learn how to apply statistical techniques to solve problems in the real world of business.

Learning Outcomes

  • explain types and sources of data and information, and relate to statistical concepts;
  • apply appropriate and various statistical techniques;
  • use statistical software to solve business related problems;
  • interpret data and statistical results to make insightful business decisions;
  • explain data within a business environment context.

Subject Assessment

  • online quizzes (30%)
  • final examination (35%)
  • case study - report (35%).

Special Assessment Requirements

Tutorial attendance is mandatory in this subject. A student who fails to attend at least 70% must meet with the Associate Dean of Learning and Teaching and provide evidence as to why he or she should be permitted to sit the final exam or submit the final assessment task.

Inadmissible
Subject
Combinations:
BU1010 EC1101 MA1401 BU1007

Availabilities

Townsville, Internal, Study Period 2
Census Date 27-Aug-2020
Coordinator: Dr Taha Chaiechi
Lecturers: Dr Rabiul Beg, Miss Diana Sheedy.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 9 hours tutorials - Additional Tutorials/Workshops
  • 41 hours - Combined Lectures; Tutorials/Workshops; Lecturer directed activities.
  • assessment and self-directed study

External, Study Period 2
Census Date 27-Aug-2020
Coordinator: Dr Taha Chaiechi
Lecturers: Dr Rabiul Beg, Dr Taha Chaiechi.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 0 hours
  • assessment and self-directed study
Method of Delivery: WWW - LearnJCU

Cairns, Internal, Study Period 2
Census Date 27-Aug-2020
Coordinator: Dr Taha Chaiechi
Lecturer: Miss Diana Sheedy.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 9 hours tutorials - Additional Tutorials/Workshops
  • 41 hours - Combined Lectures; Tutorials/Workshops; Lecturer directed activities.
  • assessment and self-directed study

Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.