Data & research
Data Visualisation & Storytelling
Build an evidence-led Data Visualisation & Storytelling foundation you can explain in a real workplace or interview.
Turn data into clear visuals and evidence-led decisions.
About this course
Learn chart selection, dashboard thinking, data narrative, quality checks and stakeholder communication.
Career relevance
Where this can take you
Designed for learners exploring data careers and building a practical, honest portfolio.
Portfolio project: Create a Data Visualisation & Storytelling capstone pack that documents your purpose, method, evidence, quality check and next action.
Skills you will gain
Practical skills, not just theory
What you will learn
Understand the core workflow behind data visualisation & storytelling.
Create practical evidence using controlled, workplace-ready methods.
Make evidence-led decisions, communicate limitations and escalate appropriately.
Present a portfolio-ready capstone and development plan.
Objective map
A numbered, measurable syllabus
Every lesson, knowledge check and practical activity maps to the objectives below. Domain weights show how much of the programme each area represents.
Domain 1
Data Visualisation & Storytelling: role and foundations to Dashboard thinking
- 1.1Explain and distinguish data visualisation & storytelling: role and foundations in a realistic data visualisation & storytelling context: establish the purpose, professional boundaries and workplace context for data visualisation & storytelling.
- 1.2Demonstrate chart selection in a realistic data visualisation & storytelling context: apply chart selection to a realistic data visualisation & storytelling brief, documenting the decision, evidence and next action.
- 1.3Demonstrate dashboard thinking in a realistic data visualisation & storytelling context: apply dashboard thinking to a realistic data visualisation & storytelling brief, documenting the decision, evidence and next action.
Domain 2
Data narrative to Stakeholder communication
- 2.1Demonstrate data narrative in a realistic data visualisation & storytelling context: apply data narrative to a realistic data visualisation & storytelling brief, documenting the decision, evidence and next action.
- 2.2Demonstrate quality checks in a realistic data visualisation & storytelling context: apply quality checks to a realistic data visualisation & storytelling brief, documenting the decision, evidence and next action.
- 2.3Demonstrate stakeholder communication in a realistic data visualisation & storytelling context: apply stakeholder communication to a realistic data visualisation & storytelling brief, documenting the decision, evidence and next action.
Domain 3
Integrated Data Visualisation & Storytelling workflow to Final Data Visualisation & Storytelling capstone
- 3.1Apply and control integrated data visualisation & storytelling workflow in a realistic data visualisation & storytelling context: connect the programme topics into one controlled workflow with clear inputs, checks, handover points and escalation boundaries.
- 3.2Complete and defend portfolio lab: data visualisation & storytelling case in a realistic data visualisation & storytelling context: create a portfolio-safe data visualisation & storytelling artefact from a realistic workplace scenario and explain the choices made.
- 3.3Complete and defend final data visualisation & storytelling capstone in a realistic data visualisation & storytelling context: complete and review an end-to-end data visualisation & storytelling case with evidence, quality checks, limitations and a professional recommendation.
How the programme works
Learn, practise, explain and prove it
This is a long-form, eight-week guided programme rather than a stack of short articles. Each module contains six substantial lessons that move from concepts and methods into a worked case, a quality clinic, a workplace lab and assessed reflection.
1. Guided learning
Study the purpose, process, risks and professional standard through structured readings and active notes.
2. Worked cases
Compare plausible options, expose missing evidence and defend a decision under realistic constraints.
3. Quality clinics and labs
Diagnose weak work, revise it against a rubric and create portfolio evidence with a full audit trail.
4. Hard assessment
Pass applied checks and the final assessment at 85%, with no unresolved critical-error questions.
Curriculum
A complete programme, module by module
The curriculum below shows the actual learning pathway, objective and evidence for every module. Full lessons remain locked until enrolment.
Build the base
Standards, vocabulary and the core method you will use throughout the programme.
01Data Visualisation & Storytelling: role and foundationsEstablish the purpose, professional boundaries and workplace context for data visualisation & storytelling.+
Measured objectiveExplain and distinguish data visualisation & storytelling: role and foundations in a realistic data visualisation & storytelling context: establish the purpose, professional boundaries and workplace context for data visualisation & storytelling.
Evidence you will produceA checked working paper, analysis or report for data visualisation & storytelling: role and foundations, including source data, assumptions, calculations, findings and limitations.
Six guided lessons + worked case + quality clinic + workplace lab + hard knowledge check
02Chart selectionApply chart selection to a realistic data visualisation & storytelling brief, documenting the decision, evidence and next action.+
Measured objectiveDemonstrate chart selection in a realistic data visualisation & storytelling context: apply chart selection to a realistic data visualisation & storytelling brief, documenting the decision, evidence and next action.
Evidence you will produceA checked working paper, analysis or report for chart selection, including source data, assumptions, calculations, findings and limitations.
Six guided lessons + worked case + quality clinic + workplace lab + hard knowledge check
03Dashboard thinkingApply dashboard thinking to a realistic data visualisation & storytelling brief, documenting the decision, evidence and next action.+
Measured objectiveDemonstrate dashboard thinking in a realistic data visualisation & storytelling context: apply dashboard thinking to a realistic data visualisation & storytelling brief, documenting the decision, evidence and next action.
Evidence you will produceA checked working paper, analysis or report for dashboard thinking, including source data, assumptions, calculations, findings and limitations.
Six guided lessons + worked case + quality clinic + workplace lab + hard knowledge check
Milestone: You can explain the fundamentals and complete a first guided task.
Develop core skills
The working skills and tools of the role, practised one at a time.
04Data narrativeApply data narrative to a realistic data visualisation & storytelling brief, documenting the decision, evidence and next action.+
Measured objectiveDemonstrate data narrative in a realistic data visualisation & storytelling context: apply data narrative to a realistic data visualisation & storytelling brief, documenting the decision, evidence and next action.
Evidence you will produceA checked working paper, analysis or report for data narrative, including source data, assumptions, calculations, findings and limitations.
Six guided lessons + worked case + quality clinic + workplace lab + hard knowledge check
05Quality checksApply quality checks to a realistic data visualisation & storytelling brief, documenting the decision, evidence and next action.+
Measured objectiveDemonstrate quality checks in a realistic data visualisation & storytelling context: apply quality checks to a realistic data visualisation & storytelling brief, documenting the decision, evidence and next action.
Evidence you will produceA checked working paper, analysis or report for quality checks, including source data, assumptions, calculations, findings and limitations.
Six guided lessons + worked case + quality clinic + workplace lab + hard knowledge check
06Stakeholder communicationApply stakeholder communication to a realistic data visualisation & storytelling brief, documenting the decision, evidence and next action.+
Measured objectiveDemonstrate stakeholder communication in a realistic data visualisation & storytelling context: apply stakeholder communication to a realistic data visualisation & storytelling brief, documenting the decision, evidence and next action.
Evidence you will produceA checked working paper, analysis or report for stakeholder communication, including source data, assumptions, calculations, findings and limitations.
Six guided lessons + worked case + quality clinic + workplace lab + hard knowledge check
Milestone: You can carry out routine work independently and check it properly.
Apply it in realistic scenarios
Case studies and simulations with competing priorities and incomplete information.
07Integrated Data Visualisation & Storytelling workflowConnect the programme topics into one controlled workflow with clear inputs, checks, handover points and escalation boundaries.+
Measured objectiveApply and control integrated data visualisation & storytelling workflow in a realistic data visualisation & storytelling context: connect the programme topics into one controlled workflow with clear inputs, checks, handover points and escalation boundaries.
Evidence you will produceA checked working paper, analysis or report for integrated data visualisation & storytelling workflow, including source data, assumptions, calculations, findings and limitations.
Six guided lessons + worked case + quality clinic + workplace lab + hard knowledge check
08Portfolio lab: Data Visualisation & Storytelling caseCreate a portfolio-safe data visualisation & storytelling artefact from a realistic workplace scenario and explain the choices made.+
Measured objectiveComplete and defend portfolio lab: data visualisation & storytelling case in a realistic data visualisation & storytelling context: create a portfolio-safe data visualisation & storytelling artefact from a realistic workplace scenario and explain the choices made.
Evidence you will produceA checked working paper, analysis or report for portfolio lab: data visualisation & storytelling case, including source data, assumptions, calculations, findings and limitations.
Six guided lessons + worked case + quality clinic + workplace lab + hard knowledge check
09Final Data Visualisation & Storytelling capstoneComplete and review an end-to-end data visualisation & storytelling case with evidence, quality checks, limitations and a professional recommendation.+
Measured objectiveComplete and defend final data visualisation & storytelling capstone in a realistic data visualisation & storytelling context: complete and review an end-to-end data visualisation & storytelling case with evidence, quality checks, limitations and a professional recommendation.
Evidence you will produceA checked working paper, analysis or report for final data visualisation & storytelling capstone, including source data, assumptions, calculations, findings and limitations.
Six guided lessons + worked case + quality clinic + workplace lab + hard knowledge check
Milestone: You can make and justify decisions in realistic situations.
Suggested pace
Eight-week study plan
Plan for roughly 5–9 hours each week across readings, worked cases, practice, portfolio production and assessment remediation. Repeat a week when the knowledge checks show a gap.
Week 1
Data Visualisation & Storytelling: role and foundations to Chart selection
- •Complete the six guided lessons for Data Visualisation & Storytelling: role and foundations and Chart selection and build structured notes against the objective codes.
- •Analyse the worked case, compare two defensible options and submit a reasoned decision record.
- •Complete the quality clinic, correct the weak draft and document every revision against the rubric.
- •Produce the data visualisation & storytelling: role and foundations and chart selection portfolio evidence and complete the hard knowledge checks.
- •Review every incorrect answer, explain why each distractor fails and schedule targeted retrieval practice.
Checkpoint: Reach at least 85% on the week’s checks, resolve every critical error and save the reviewed portfolio evidence before continuing.
Week 2
Dashboard thinking
- •Complete the six guided lessons for Dashboard thinking and build structured notes against the objective codes.
- •Analyse the worked case, compare two defensible options and submit a reasoned decision record.
- •Complete the quality clinic, correct the weak draft and document every revision against the rubric.
- •Produce the dashboard thinking portfolio evidence and complete the hard knowledge checks.
- •Review every incorrect answer, explain why each distractor fails and schedule targeted retrieval practice.
Checkpoint: Reach at least 85% on the week’s checks, resolve every critical error and save the reviewed portfolio evidence before continuing.
Week 3
Data narrative
- •Complete the six guided lessons for Data narrative and build structured notes against the objective codes.
- •Analyse the worked case, compare two defensible options and submit a reasoned decision record.
- •Complete the quality clinic, correct the weak draft and document every revision against the rubric.
- •Produce the data narrative portfolio evidence and complete the hard knowledge checks.
- •Review every incorrect answer, explain why each distractor fails and schedule targeted retrieval practice.
Checkpoint: Reach at least 85% on the week’s checks, resolve every critical error and save the reviewed portfolio evidence before continuing.
Week 4
Quality checks
- •Complete the six guided lessons for Quality checks and build structured notes against the objective codes.
- •Analyse the worked case, compare two defensible options and submit a reasoned decision record.
- •Complete the quality clinic, correct the weak draft and document every revision against the rubric.
- •Produce the quality checks portfolio evidence and complete the hard knowledge checks.
- •Review every incorrect answer, explain why each distractor fails and schedule targeted retrieval practice.
Checkpoint: Reach at least 85% on the week’s checks, resolve every critical error and save the reviewed portfolio evidence before continuing.
Week 5
Stakeholder communication
- •Complete the six guided lessons for Stakeholder communication and build structured notes against the objective codes.
- •Analyse the worked case, compare two defensible options and submit a reasoned decision record.
- •Complete the quality clinic, correct the weak draft and document every revision against the rubric.
- •Produce the stakeholder communication portfolio evidence and complete the hard knowledge checks.
- •Review every incorrect answer, explain why each distractor fails and schedule targeted retrieval practice.
Checkpoint: Reach at least 85% on the week’s checks, resolve every critical error and save the reviewed portfolio evidence before continuing.
Week 6
Integrated Data Visualisation & Storytelling workflow
- •Complete the six guided lessons for Integrated Data Visualisation & Storytelling workflow and build structured notes against the objective codes.
- •Analyse the worked case, compare two defensible options and submit a reasoned decision record.
- •Complete the quality clinic, correct the weak draft and document every revision against the rubric.
- •Produce the integrated data visualisation & storytelling workflow portfolio evidence and complete the hard knowledge checks.
- •Review every incorrect answer, explain why each distractor fails and schedule targeted retrieval practice.
Checkpoint: Reach at least 85% on the week’s checks, resolve every critical error and save the reviewed portfolio evidence before continuing.
Week 7
Portfolio lab: Data Visualisation & Storytelling case
- •Complete the six guided lessons for Portfolio lab: Data Visualisation & Storytelling case and build structured notes against the objective codes.
- •Analyse the worked case, compare two defensible options and submit a reasoned decision record.
- •Complete the quality clinic, correct the weak draft and document every revision against the rubric.
- •Produce the portfolio lab: data visualisation & storytelling case portfolio evidence and complete the hard knowledge checks.
- •Review every incorrect answer, explain why each distractor fails and schedule targeted retrieval practice.
Checkpoint: Reach at least 85% on the week’s checks, resolve every critical error and save the reviewed portfolio evidence before continuing.
Week 8
Final Data Visualisation & Storytelling capstone
- •Complete the six guided lessons for Final Data Visualisation & Storytelling capstone and build structured notes against the objective codes.
- •Analyse the worked case, compare two defensible options and submit a reasoned decision record.
- •Complete the quality clinic, correct the weak draft and document every revision against the rubric.
- •Produce the final data visualisation & storytelling capstone portfolio evidence and complete the hard knowledge checks.
- •Review every incorrect answer, explain why each distractor fails and schedule targeted retrieval practice.
Checkpoint: Submit the capstone evidence pack, defend the key decision, remediate every weak objective and pass the final assessment at 85% with no critical misses.
Data & research
Continue your learning path
Business Intelligence Dashboards
Design controlled dashboards that answer operational questions.
60–72 hours
Business Statistics
Use statistical thinking to interpret evidence for workplace decisions.
60–72 hours
Data Engineering Foundations
Understand how reliable data pipelines support analysis and products.
55–66 hours
Assessment and certificate
A scenario-led data visualisation & storytelling case, practical portfolio review and final knowledge assessment. It is a UGEN ACADEMY completion record, not an external professional credential.
Who this is for
- ✓Learners exploring data careers.
- ✓Job seekers building practical data visualisation & storytelling evidence.
- ✓Professionals developing a structured new capability.