Business Data Analytics Project

Overview

This unit equips students with essential data literacy and analytical skills for business. Through a semester-long simulation project, students will generate actionable business insights and support informed decision-making. The project emphasises the practical application of fundamental Python programming and statistical analysis techniques. Students will learn to manipulate data, perform descriptive statistics, and create effective visualisations. By utilising structured project templates, they will also develop an understanding of core project management principles, preparing them for future business analytics studies and professional practice.

Unit learning outcomes

Students who successfully complete this unit will be able to:

1. Apply Agile design principles to design, create, and evaluate working app prototypes in a low-code environment
2. Apply descriptive statistical analysis and create data visualisations to derive insights from business data
3. Analyse business problems and critically interpret data analysis results to determine their implications for business decision-makingdescriptive statistical analysis and create data visualisations to derive insights from business data
4. Demonstrate an understanding of project management principles and data processing techniques
5. Demonstrate effective collaboration within project teams to conduct data analysis and communicate findings in a professional manner

Teaching methods

Hawthorn

Assessment

Content

• Business Analytics, Data Analytics
• Python Fundamentals, NumPy, Pandas, Matplotlib/Seaborn
• Data Manipulation, Data Analysis, and Data Visualisation with Python
• Descriptive Statistics for Business, i.e., basic probability, central tendency, distributions, measures of dispersion, correlation, and regressions
• Data Interpretation and Business Insights
• Agile Project Management principles