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Practical Business Analytics
BUSAN201-24A (HAM)
Points15
Delivery ModeFlexiAsync
When TaughtA
Start Week26 Feb 2024
End Week23 Jun 2024
Where TaughtHamilton
Self-PacedNo
Staff
| Convenor | |
| Administrators |
Corlia Booysen: [email protected]
Helena Wang: [email protected]
Paula Maynard: [email protected]
Pavitra Ramaswamy: [email protected]
Tamara Deverson: [email protected]
Tarryn Nel: [email protected]
|
| Tutors |
Cherry Liu: [email protected]
Philip Jiang: [email protected]
Rebecca Ali: [email protected]
|
| Librarian(s) | Available here |
What this paper is aboutIn this paper, students gain hands-on experience in using web-based software tools for business analytics. Students will acquire competencies in using a number of contemporary web-based business analytics tools to support descriptive, diagnostic, predictive, and prescriptive analytics approaches to leverage business data. Students will learn about business analytics process, data mining techniques and where they would be applied, communication with data, AI-powered business analytics, and business analytics modelling tools. Students will practice with common business analytics activities such as data preparation, data mining, data visualisation, and data reporting.
How this paper will be taught
This paper will be delivered via a combination of lectures and in-lab practical sessions. All course materials will be available on Moodle. All lectures will be recorded and uploaded on Moodle each week.
All lectures will be delivered online. Lab sessions will be delivered both online and in person at Hamilton Campus.
Timetable
| Event Name | Day | Start Time | End Time | Location |
|---|---|---|---|---|
| Lecture 1 ONLINE | Tue | 10:00 | 12:00 | ON-LINE |
| Tutorial 1 A | Wed | 16:00 | 17:00 | MSB.0.27 |
| Tutorial 1 B | Thu | 12:00 | 13:00 | MSB.0.27 |
| Tutorial 1 C | Thu | 19:00 | 20:00 | ON-LINE |
What you will study
| Topic |
|---|
Introduction to Business Analytics |
Data Warehouse |
From Data to Insights I - TPS and DSS |
From Data to Insights II - Big Data Analytics |
Data Visualisation I |
Data Visualisation II |
Communicating Business Insights |
AI-Powered Business Analytics |
Business Analytics Modelling Tools |
Data Governance and Security |
| Week | Topics | Additional Information | ||
|---|---|---|---|---|
| Paper | University | Beginning | ||
| 1 | 9 | Mon 26 Feb |
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| 2 | 10 | Mon 4 Mar |
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| 3 | 11 | Mon 11 Mar |
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| 4 | 12 | Mon 18 Mar |
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| 5 | 13 | Mon 25 Mar |
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| 6 | 14 | Mon 1 Apr |
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| 7 | 15 | Mon 8 Apr |
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| 8 | 16 | Mon 15 Apr | Teaching Recess Week | |
| 9 | 17 | Mon 22 Apr | Teaching Recess Week | |
| 10 | 18 | Mon 29 Apr |
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| 11 | 19 | Mon 6 May |
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| 12 | 20 | Mon 13 May |
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| 13 | 21 | Mon 20 May |
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| 14 | 22 | Mon 27 May |
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| 15 | 23 | Mon 3 Jun | Study Week | |
| 16 | 24 | Mon 10 Jun | Exam Week | |
| 17 | 25 | Mon 17 Jun | Exam Week | |
Required ReadingsReading materials such as book chapter, reports, tutorial videos and journal articles will be uploaded for each topic and week. No additional text book is required.
Learning OutcomesStudents who successfully complete the paper should be able to:
- Link data and information needs to determine the appropriate tools and techniques to leaverage business data.
- Evaluate the strengths and weaknesses of contemporary business analytics tools and techniques.
- Demonstrate basic competencies in a range of web-based analytics tools such as Google BigQuery, Microsoft BI, Tableau, and Microsoft Azure ML.
- Articulate to non-technical specialists, how to extract value from static and dynamic data.
Internal Assessment / Examination WeightingThe internal assessment/exam ratio (as stated in the University Calendar) is 100:0. There is no final exam.
Grade MethodWaikato Grading Scale (A+, A, A- etc…)
Assessment
| Assessments | Due Date | Percentage of overall mark | Compulsory | Link to Learning Outcome |
|---|---|---|---|---|
| Assessments | 100 | |||
| Assignment 1: Business Problem and Proposal (2%) | 10 Mar 2024 | - | 1,2,4 | |
| Assignment 2: Data Querying (15%) | 24 Mar 2024 | - | 1,3 | |
| Assignment 3: Data Analytics and Visualisation (25%) | 14 Apr 2024 | - | 1,3,4 | |
| Assignment 4: Communicating Business Insights (20%) | 19 May 2024 | - | 1,3,4 | |
| Lab Submission (8%) | 19 May 2024 | - | 1,3 | |
| Group Project Report (20%) | 26 May 2024 | - | 1,2,3,4 | |
| Group Project Presentation (10%) | 31 May 2024 | - | 2,4 | |
| Quiz | 19 May 2024 | - | ||
| Assessment Total: | 100 |