Data Analytics for Finance

Data Analytics is an elective subject on the CPA Syllabus at Strategic Level

Full Syllabus Information

Why Data Analytics for Finance?

Through the study of this subject, students will develop highly sought-after analytical skills such as capturing, interpreting and reporting on big data.

Dual Qualification

By taking this elective and qualifying as a CPA, trainees will also be recognised as a Certified Data Business Analyst with the Analytics Institute*

Learning Outcomes

On completion of this module, students will achieve the following learning outcomes:

  • Discuss the strategic processes, benefits and challenges of applying Data Analysis techniques to improve decision making for competitive advantage
  • Apply statistical techniques, including regression and time series, to business datasets and interpret statistical results for various user groups.
  • Describe the key concepts underpinning various supervised and unsupervised machine learning techniques 
  • Interpret outputs from a variety of Data Analytics software tools, such as Excel, R and Python, and discuss the risks in making business recommendations from these outputs
  • Evaluate the benefits and risks of utilising machine learning techniques in a variety of business financial activities. 
  • Assess data protection, data privacy and other ethical issues associated with the utilisation of large corporate datasets   

Syllabus Includes:

  • Strategic Data Management in Finance
  • Exploratory Data Analysis
  • Statistics for Big Data
  • Dimension Reduction
  • Regression and Big Data
  • Forecasting Techniques and Application
  • Machine Learning
  • Model Evaluation
  • Data Ethics and Legal Considerations

Accreditation - The Analytics Institute

A Certification Fee will apply to certify successful candidates as a Business Data Analyst (€200+vat).

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