Overview

Data storytelling builds compelling narratives that have a basis in complex data and analytics: these will help tell the story, which in turn will influence and inform a particular audience.

Data storytelling provides deeper insights and supporting evidence for given hypotheses through visualisations like graphs and charts. It can simplify complicated information so your audience can engage with your content and make critical decisions quicker and more confidently.

So if you are a data specialist and need to present the data in your role, this is the course for you.

In this course, you will become more confident and curious about using data in your day-to-day activities and understand the role data can play in creating a data story.

Examples, demonstrations and exercises may use common applications, including Microsoft Excel and Google Sheets.

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Prerequisites

  • Understand how to write formulas writing using standard functions
  • Experience in creating or using charts and graphs
  • Ideally, you should have attended the Fundamentals of Data Literacy (QADLFUND) course
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Delegates will learn how to

At the end of this course, you’ll be able to:

  • Understand what Data Storytelling is.
  • Translate and clarify questions.
  • Understand what the question means and how to ask it better.
  • Work with underlying data quality.
  • Build a meaningful insight.
  • Define a hypothesis.
  • Identify the audience.
  • Build effective visuals.
  • Creating a compelling narrative.
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Outline

Module 1: What is Data Storytelling?

  • Why do data and analytics matter?
  • What are the benefits of data storytelling?
  • Converting insights into information?

Module 2: Asking better data questions

  • What is a data question?
  • Translate and clarify questions

Module 3: Underlying data quality

  • Main data qualities
  • Main types of data information

Module 4: Building an insight

  • What is a hypothesis?
  • Developing the hypothesis
  • Actionable insight

Module 5: Identify the audience

  • Who is my audience?
  • Empathy mapping

Module 6: Building effective visuals

  • Where can visualisations be used?
  • Visualisation types
  • Focussing attention
  • How to emphasise the key points

Module 7: Creating the story

  • Data narrative arc – telling the story!
  • Building the storyboard

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Why choose QA

Dates & Locations

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QA online courses, also commonly known as distance learning courses or elearning courses, take the form of interactive software designed for individual learning, but you will also have access to full support from our subject-matter experts for the duration of your course. When you book a QA online learning course you will receive immediate access to it through our e-learning platform and you can start to learn straight away, from any compatible device. Access to the online learning platform is valid for one year from the booking date.

All courses are built around case studies and presented in an engaging format, which includes storytelling elements, video, audio and humour. Every case study is supported by sample documents and a collection of Knowledge Nuggets that provide more in-depth detail on the wider processes.

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