Subject Search
BU1007 - Principles of Data Analysis for Business
| Credit points: | 3 |
| Year: | 2020 |
| Student Contribution Band: | Band 2 |
| 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
- 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 BU1807 |
Availabilities |
|
| Townsville, Internal, Study Period 2 | |
| Census Date 27-Aug-2020 | |
| Coordinator: | Dr Rabiul Beg |
| Lecturers: | Dr Rabiul Beg, <Person not found>. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| External, Study Period 2 | |
| Census Date 27-Aug-2020 | |
| Coordinator: | Dr Rabiul Beg |
| Lecturers: | Dr Rabiul Beg, <Person not found>. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| Method of Delivery: | WWW - LearnJCU |
| Cairns, Internal, Study Period 2 | |
| Census Date 27-Aug-2020 | |
| Coordinator: | Dr Rabiul Beg |
| Lecturers: | Dr Rabiul Beg, Mrs Tracey Cockburn, <Person not found>. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Singapore, Internal, Study Period 51 | |
| Census Date 09-Apr-2020 | |
| Coordinator: | Dr Rabiul Beg |
| Lecturers: | Assoc. Professor Huiping Zhang, <Person not found>. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Singapore, Internal, Study Period 52 | |
| Census Date 06-Aug-2020 | |
| Coordinator: | Assoc. Professor Jacob Wood |
| Lecturers: | Assoc. Professor Huiping Zhang, <Person not found>. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Singapore, Internal, Study Period 53 | |
| Census Date 03-Dec-2020 | |
| Lecturer: | <Person not found>. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Brisbane, Internal, Study Period 21 | |
| Census Date 09-Apr-2020 | |
| Coordinator: | Dr Rabiul Beg |
| Lecturers: | Dr Yulin Liu, <Person not found>. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Brisbane, Internal, Study Period 22 | |
| Census Date 06-Aug-2020 | |
| Coordinator: | Dr Rabiul Beg |
| Lecturers: | Dr Yulin Liu, <Person not found>. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Brisbane, Internal, Study Period 23 | |
| Census Date 03-Dec-2020 | |
| Lecturer: | <Person not found>. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
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.