Certificate in Data Analytics (CertDA).

Unlock new opportunities with Cert DA

It’s essential for today’s businesses to use data to make informed decisions, improve efficiencies, reduce costs and lower risk. Data analytics create great value and assist in solving complex business issues, playing a vital role in business success.

ACCA’s Certificate in Data Analytics for Finance Professionals demystifies analytics and empowers you with the knowledge to make data-driven decisions.

The certificate is aimed at professionals who wish to enhance their careers by developing an understanding of data capabilities and the techniques available for data analytics.

This cost-effective online certificate aims to improve commercial decisions and uses real business examples to allow practical application of the content. Learners will also understand the need to be both sceptical and ethical while working on data analysis, encouraging them to be critical thinkers.

Learning outcomes

The Certificate in Data Analytics will provide you or your team with the skills and understanding to:

  • identify and effectively leverage the four primary types of data analytics, to support financial decision making, business intelligence and strategy
  • use both essential and advanced data analytics techniques in your role, based on industry best practice
  • effectively employ data visualisation approaches to transform raw data into actionable insights
  • recognise the role of AI, Machine Learning and data manipulation tools (Python, R, SQL) in the ethical manipulation and analysis of datasets
  • understand key data governance and security practices related to data analytics and plan for their effective implementation
  • ethical considerations when working with data

Topics covered by the certificate

The certificate is divided into 8 units, covering the following:

Course unit Learning topics
1. Introduction to data analytics
  • Types of data analytics and their applications in finance
  • Understanding data sources and the importance of data accuracy and control
  • Understanding big data: value, technology, skills, strategy, and its role in finance
  • Introduction to data mining and the CRISP-DM framework
2. Data science essentials
  • Understanding core concepts and methodologies of data science, including ethics and the impact of data in finance and accounting.
  • Managing data
  • Understanding algorithms and big data processing
  • Tools for data preparation
3. Data analysis techniques
  • Understanding different data types and analytical approaches
  • Exploring descriptive, predictive, and prescriptive analytics
  • An introduction to regression analysis 
  • Avoiding common mistakes in data analysis
4. Advanced financial analytics
  • Overview of key techniques
  • Cluster analysis
  • Time series analysis
  • Applying analytics in finance and accounting
  • Monte Carlo Simulation
5. Data visualisation
  • Foundations of data visualisation
  • Essential tools for data analysis and visualisation
  • Core concepts and techniques in data visualisation
  • The value of data visualisation for finance professionals

6. Ensuring meaningful visualisation

  • Planning and creating effective data presentations and reports
  • Reporting performance with measures, indicators, and charts
  • Using run charts, control charts, and pareto charts for clear data interpretation
  • Tailoring reports for specific audiences
7. How Data Analytics links to Business Intelligence and Strategy
  • Introduction to Business Intelligence (BI) tools
  • Developing essential professional skills
  • Integrating BI with financial strategy
  • Data-Driven Decision Making
  • Performance metrics and KPIs 
8. Data governance and compliance
  • Understanding data governance frameworks
  • Regulatory compliance
  • Data privacy and security measures
  • Implementing data management frameworks

Duration

The certificate takes approximately 12-15 hours to complete.

Additional features

Learners can explore specialist areas or repeat exercises to gain confidence

Reflective exercises, tasks and knowledge checks are embedded throughout the content, to support knowledge retention prior to the final assessment

Certificate award

The certificate is assessed by a one hour exam with 12 questions, worth a total of 20 marks. You are required to achieve 10 marks to pass the assessment (50% pass mark). Once you pass the assessment, you will be awarded with a certificate.