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BU1007 - Principles of Data Analysis for Business

Credit points: 3
Year: 2023
Student Contribution Band: Band 1
Administered by: College of Business, Law & Governance

In a world where more data and more complex data is readily available, understanding and applying the principles of data analysis drives timely decision making which is an essential skill to any student. This subject provides students with an introduction to data analysis, contextualised using data sources you commonly encounter in business environments. Students cover the foundational principles of data analysis, which are the selection, analysis and interpretation of data. The subject demonstrates that the research question you wish to answer, drives the data selection and the analysis method. The interpretation and clear communication of the subsequent findings ensure correct decision making, which in turn drives business success.

Learning Outcomes

  • describe the practical relevance of data analysis for application in business contexts;
  • identify and outline a range of data sources, types and analysis methods relevant to business management;
  • apply appropriate methods, interpret results and recommend actions to make insightful business decisions and solve business related problems.

Subject Assessment

  • Written > Test/Quiz 1 - (30%) - Individual
  • Statistical Report - (40%) - Individual
  • Examination Multiple choice with short answers - (30%) - Individual.

Special Assessment Requirements

Mandatory attendance requirements apply in this subject. A student who fails to attend at least 8 out of 10 workshops, must meet with the Associate Dean of Learning and Teaching and provide evidence as to why they should be permitted to submit the final assessment task.

Inadmissible
Subject
Combinations:
BU1010 EC1101 MA1401 BU1807

Availabilities

Cairns, Trimester 2, Internal
Census Date 22-Jun-2023
Coordinator: Mrs Diana Sheedy
Lecturers: Mrs Diana Sheedy, Miss Rachel Saunders.
Workload expectations:

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

  • 30 hours seminars
  • 10 hours online activity - Recordings, online activities and self-directed learning
  • assessment and self-directed study

JCU Brisbane, Trimester 1, Internal
Census Date 09-Mar-2023
Coordinator: Mrs Diana Sheedy
Workload expectations:

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

  • 20 hours lectures
  • 10 hours tutorials - Synthesising sessions
  • 10 hours online activity - Recordings, online activities & self-directed learning
  • assessment and self-directed study

JCU Brisbane, Trimester 2, Internal
Census Date 22-Jun-2023
Coordinator: Mrs Diana Sheedy
Lecturer: Mr Brett Vance.
Workload expectations:

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

  • 20 hours lectures
  • 10 hours tutorials - Synthesising sessions
  • 10 hours online activity - Recordings, online activities & self-directed learning
  • assessment and self-directed study

JCU Brisbane, Trimester 3, Internal
Census Date 05-Oct-2023
Coordinator: Mrs Diana Sheedy
Lecturer: Mr Brett Vance.
Workload expectations:

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

  • 20 hours lectures
  • 10 hours tutorials - Synthesising sessions
  • 10 hours online activity - Recordings, online activities & self-directed learning
  • assessment and self-directed study

JCU Singapore, Study Period 51, Internal
Census Date 06-Apr-2023
Workload expectations:

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

  • 20 hours lectures - may include recorded presentations, online activities & self-learning activities inclusive of lectures, via LearnJCU
  • 20 hours tutorials - may include recorded presentations, online activities & self-learning activities inclusive of synthesising sessions, via LearnJCU
  • assessment and self-directed study

JCU Singapore, Study Period 52, Internal
Census Date 03-Aug-2023
Workload expectations:

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

  • 20 hours lectures - may include recorded presentations, online activities & self-learning activities inclusive of lectures, via LearnJCU
  • 20 hours tutorials - may include recorded presentations, online activities & self-learning activities inclusive of synthesising sessions, via LearnJCU
  • assessment and self-directed study

JCU Singapore, Study Period 53, Internal
Census Date 30-Nov-2023
Workload expectations:

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

  • 20 hours lectures - may include recorded presentations, online activities & self-learning activities inclusive of lectures, via LearnJCU
  • 20 hours tutorials - may include recorded presentations, online activities & self-learning activities inclusive of synthesising sessions, via LearnJCU
  • assessment and self-directed study

Townsville, Trimester 2, Internal
Census Date 22-Jun-2023
Coordinator: Mrs Diana Sheedy
Lecturers: Dr Rabiul Beg, Miss Rachel Saunders.
Workload expectations:

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

  • 30 hours seminars
  • 10 hours online activity - Recordings, online activities and self-directed learning
  • assessment and self-directed study

Trimester 2, External
Census Date 22-Jun-2023
Coordinator: Mrs Diana Sheedy
Lecturers: Mrs Diana Sheedy, Miss Rachel Saunders.
Workload expectations:

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

  • 30 hours online activity - Recordings, online activities & self-directed learning
  • 10 hours online Tutorials - Online collaborate sessions
  • assessment and self-directed study
Method of Delivery: WWW - LearnJCU

Trimester 3, External
Census Date 05-Oct-2023
Coordinator: Dr Rabiul Beg
Lecturers: Dr Rabiul Beg, Miss Rachel Saunders.
Workload expectations:

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

  • 30 hours online activity - Recordings, online activities & self-directed learning
  • 10 hours online Tutorials - Online Collaborate sessions
  • assessment and self-directed study
Method of Delivery: WWW - LearnJCU

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.