Course Duration
1 Day
Digital Transformations
Authorized Training
Business Applications
Course cost:
£1,258
Business Applications Certification 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
Target Audience
If your role involves working with data and communicating insights to others, this course will help you present data clearly, confidently, and effectively.
Learning Objectives
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.
Fundamentals of Data Storytelling Course Content
Module 1: What is Data Storytelling?
- Why do data and analytics matter?
- Benefits of data storytelling
- Convert insight into information
Module 2: Translating and clarifying questions
- What does the question mean?
- How do I ask better questions?
Module 3: Underlying data quality
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Four main data qualities
- Filtered, Gaps, Specific, Naming
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Two main types of data
- Quantitative and Qualitative
Module 4: Building an insight
- Defining a hypothesis
- What have I learned?
Module 5: Identify your audience
- Empathy mapping
- Types of audience
Module 6A: Visualisation principles
- Type of visualisations
- Decluttering
- Focus Attention
Module 6B: Dashboard and report design
- Define the decision the page must support
- Understand user needs and constraints
- Select focused KPIs and context measures
- Build a clear page hierarchy
- Use progressive disclosure
- Add context, caveats and action prompts
- Test and iterate with real users
Module 7: Creating a narrative
- Build a storyboard
- Starting step - (Set the context)
- Middle step - (Prove or disprove the hypothesis)
- End step - (Credible findings and validation with Follow-up)
Exams and assessments
This course does not have any associated examinations or assessments.
Hands-on learning
This course combines a mixture of instructor-led delivery combined with active discussions and group work as well as hands-on practical activities. During the session you will have opportunities to create the following:
- Question Clarifier Canvas
- Data Readiness Assessment
- Business Hypothesis
- Actionable Insight Statement
- Audience Persona and Empathy Map
- Redesigned Data Visualisations
- Executive Dashboard Prototype
- Complete Data Storyboard and Narrative Plan
Advance Your Career with Fundamentals of Data Storytelling
Gain the skills you need to succeed. Enrol in Fundamentals of Data Storytelling with Newto Training today.