Presenting Numerical Data

by Anna Faherty
access120 days access
cpd hours4 CPD hours

This course will enable you to:

  • Select, share and interpret data in a range of professional contexts
  • Understand the difference between data, knowledge and insight
  • Pose critical questions to interrogate other people's data
  • Use verbal and visual methods to explain complex material to non-specialists
  • Build persuasive arguments founded on data
  • Consider the value and challenges associated with unstructured and big data
  • Evaluate and improve your ability to effectively present data

As an accountant you will deal with numbers every day. But how do you communicate numerical data to others? Translating the information you have in a way that makes it accessible to everyone is a key skill. Well-presented and focused data can help you and your colleagues make effective decisions. It can also build support for new initiatives and ideas.

This course demonstrates how best to share and present numerical data to support your individual and organisational goals. You'll explore how effective use of data can enable informed business decisions and win support for ideas while considering your audience, goals and the wider context. You'll also discover how to express numerical data in words or visuals, accessibly interpret it for non-specialist audiences and manage ambiguity and uncertainty.

Sharing data in a professional context

  • How and why is data shared in professional contexts?
  • How is presenting data different from other forms of communication?
  • What methods should I use to share data?
  • What are the barriers to effectively presenting numerical data?
  • What skills do I need to effectively present data?

Taking a critical approach to data

  • What types of data do I need to know about?
  • What is the difference between data, information and knowledge?
  • How may data be manipulated for different purposes?
  • How should I interrogate other people's data?
  • What do I need to know about analysis and forecasting?

Selecting and interpreting data and information

  • How should I decide what data to share?
  • What information do I need to know about the data I share?
  • How much detail should I include?
  • How should I explain the data I share?
  • What do I need to know about big data?

Sharing data to inform decisions

  • What should I think about when sharing data for decision-making?
  • What methods should I use to share data and information for decision-making?
  • How should I present data in written documents?
  • How should I share data in a presentation?
  • What visual tools could I use?
  • How should I handle ambiguity and uncertainty?

Using data to persuade and influence

  • What should I think about when using data to persuade and influence?
  • How can data help me win support for ideas?
  • How can I build a convincing argument using data?
  • How can I tell engaging stories using data?
  • How should I handle questions and concerns about data?

Anna Faherty is a writer, editor, researcher and educator who works across the publishing, museum and science communication sectors.

She collaborates with a diverse range of organisations to help them develop profitable products and effective, audience-focused communications. Her clients include the British Museum, Oxford University Press, Pearson and the V&A.

A scientist by training, Anna built up almost two decades of commercial product development and management experience, gained in higher education and professional publishing, before setting up her own consultancy business. She has also served as the Trustee of a small local museum and is sensitive to the needs of international audiences, having studied and worked in the UK, Australia, South Africa and the Seychelles.

Anna has delivered workshops and webinars for ACCA and the AIA and has lectured at City University, Kingston University, Oxford Brookes University and University College London. She is the author of two books (both published by Wellcome Collection) and her research paper on novel business models was recognised by an international award for excellence.

You can find out more about Anna's professional experience at:, or follow her on Twitter at @mafunyane.

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Verifiable CPD
Your course counts as verifiable CPD, if you can answer "yes" to these questions:

  1. Was the learning activity relevant to your career?
  2. Can you explain how you will apply the learning in the workplace?

You select courses that meet these criteria, and as you complete each course you get a CPD certificate so you can provide ACCA with the evidence that you undertook the learning activity.