BU1807 - Principles of Data Analysis for Business
Credit points: |
3 |
Year: |
2021 |
Student Contribution Band: |
Band
1
|
Administered by: |
College of Business, Law & Governance |
Available to Diploma of Higher Education students only
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 - (25%) - Individual
- Online test 4 - (25%) - Individual
- Online test 3 - (25%) - Individual
- Written > Test/Quiz 2 - (25%) - Individual.
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,
Trimester 2
|
Census Date 24-Jun-2021 |
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,
Trimester 2
|
Census Date 24-Jun-2021 |
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 |
|
|
External,
Trimester 3
|
Census Date 07-Oct-2021 |
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,
Trimester 2
|
Census Date 24-Jun-2021 |
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.