Financial Analytics for Accounting and Business Decision-Making
About This Course
The course introduces accountants to emerging trends in digital transformation and financial analytics, with a focus on developing the technical competencies to remain competitive in the evolving digital economy. Participants will gain foundational programming skills and practical exposure to data analytics tools increasingly used in the accounting and finance professions.
The course places emphasis on Python programming and its applications in data analysis, visualisation, and financial decision-making. Participants will learn how to extract and analyse financial data from publicly available sources such as Yahoo Finance, and apply these data to generate graphs, charts, and regression analyses that support business insights and informed decision making.
Through hands-on exercises and applied learning, participants will become familiar with the widely used Python packages, including numpy, Pandas, matplotlib, and statsmodels, and understand how these tools can enhance the effectiveness and efficiency of accounting and financial analysis tasks.
What You'll Learn
- Understand the concept of digital transformation and apply the business model canvas to recommend digital transformation strategies for firms
- Review and apply basic statistical concepts in financial and accounting contexts
- Demonstrate basic Python programming skills relevant for financial analytics
- Perform financial data analysis and generate meaningful insights and inferences to support decision-making
Entry Requirements
There are no formal prerequisites for enrolment in this programme. As this programme is conducted in English, participants should be proficient in reading, writing, and communicating in English.