Certificate in Data Analytics (CertDA)

Unlock new opportunities with CertDA

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 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 CertDA will help you or your team: 

  • explain how to use commercial awareness to articulate business questions
  • identify and manipulate relevant data and deeply analyse it by applying appropriate techniques
  • explain how findings from analysis can and should be visualised and communicated, enabling relevant stakeholders to make sound business decisions
  • learn and understand ethical security issues around data analytics
  • be introduced to popular statistical and programming tools such as SQL, R and Python, as well as an introduction to artificial intelligence and machine learning.

Topics covered by the certificate

The certificate is divided into 10 units, covering the following:

Course unit Learning topics
1: The CRISP framework for data analytics a) Business understanding
b) Data understanding
c) Data preparation
d) Data modelling
e) Data evaluation
f) Deployment
2: Big data and data analytics a) What is big data?
b) The 3 Vs of big data
c) The value and lessons to be learned from big data
3: Sources of data a) Interal
b) External
4: Types of analytics a) Descriptive analytics
b) Predictive analytics
c) Prescriptive analytics
5: Data analytics methodologies a) Robotics
b) Artificial intelligence
c) Machine learning
6: Mainstream tools and key applications of data analytics a) Tool and applications for descriptive analytics
b) Tools and applications for predictive analytics
c) Tools and applications for prescriptive analytics
7: Data visualisation and communication a) What is data visualisation?
b) The purpose of data visualisation
c) The benefits of data visualisation
d) The history of data visualisation
e) Types of visualisation - comparison
f) Types of visualisation - composition
g) Types of visualisation - relationship
h) What makes good visualisation?
8: Scepticism in data analytics  
9: Ethical considerations in the use of data  
10: End of units data analysis activity  


The certificate takes approximately 4 hours to complete.

Additional features

Learners can explore specialist areas or repeat exercises to gain confidence

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.