Data Storytelling and Presentations Training Course

Participants can turn a broad data request into a testable question and evidence plan.

• Business questions separated from measures, metrics, and available datasets
• Hypothesis-driven analysis focuses attention on plausible decision-relevant explanations
• Metric definitions, calculation rules, and reporting periods documented clearly
• Data provenance assessed through source, owner, collection method, and refresh date
• Missing values, outliers, and selection bias tested before interpretation
• Comparisons anchored with baselines, targets, benchmarks, or prior periods
• Evidence chain links observation, interpretation, implication, and recommendation

Participants can structure a persuasive, evidence-based narrative for an executive audience.

• SCQA frames situation, complication, question, and answer for business audiences
• Minto Pyramid Principle places the governing thought before supporting arguments
• Situation-complication narratives establish urgency without excessive background detail
• Mutually exclusive, collectively exhaustive grouping strengthens supporting argument logic
• Key messages written as assertions rather than topic labels
• Argument trees test whether evidence sufficiently supports each recommendation
• Story arc sequences context, insight, options, and requested decision

Participants can select visual forms that match the analytical task and audience question.

• Pre-attentive attributes direct attention through position, length, colour, and size
• Comparison tasks determine suitable bar, line, scatter, or slope charts
• Part-to-whole claims tested against denominator choice and category completeness
• Time-series charts distinguish trend, seasonality, volatility, and structural breaks
• Distribution plots reveal variation hidden by averages and aggregate percentages
• Small multiples support consistent comparison across regions, products, or segments
• Chart junk, decorative icons, and redundant dimensions removed systematically

Participants can create annotated charts that communicate the intended insight quickly and accurately.

• Insight-led titles state the finding before presenting the evidence
• Direct labels reduce legend scanning and improve category identification
• Reference lines show targets, thresholds, averages, and material benchmarks
• Annotations explain turning points, exceptions, interventions, and external events
• Colour hierarchy distinguishes focal data from contextual comparison data
• Axis scales, zero baselines, and truncation choices checked for distortion
• IBCS notation improves consistency across charts, tables, and management reports

Participants can convert dashboard outputs and detailed analysis into a focused executive briefing.

• Dashboard metrics screened for decision relevance before presentation selection
• Executive summary separates headline conclusion from supporting operational detail
• Progressive disclosure moves readers from recommendation to evidence efficiently
• One-slide-one-message discipline prevents mixed conclusions and overloaded layouts
• Report hierarchy uses headings, callouts, and white space purposefully
• Tables redesigned for lookup tasks, exceptions, and precise value comparison
• Appendices preserve audit detail without interrupting the primary narrative

Participants can storyboard and build a presentation deck that leads to a defined decision.

• Presentation storyboard maps opening, evidence sequence, recommendation, and closing action
• Slide headlines form a readable argument when viewed consecutively
• Opening statements establish stakes, decision ownership, and meeting purpose
• Options compared against agreed criteria, consequences, costs, and risks
• Recommendation slides specify owner, timing, resources, and approval required
• Transitions signpost logical movement between evidence, implications, and choices
• Speaker notes distinguish spoken explanation from on-screen information

Participants can communicate limitations, uncertainty and sensitive findings with professional integrity.

• Confidence intervals and ranges communicated without obscuring the decision
• Correlation and causation distinguished before making operational recommendations
• Sample size, response rate, and representativeness disclosed proportionately
• Data limitations framed with mitigation actions and residual risk
• Sensitive findings checked for privacy, fairness, and reputational consequences
• WCAG 2.2 colour contrast and non-colour cues improve accessibility
• Sources, definitions, and calculation notes cited for verification

Participants can deliver concise data briefings and respond constructively to challenge questions.

• BLUF openings state bottom line, decision, and immediate relevance
• Verbal signposting keeps audiences oriented during complex evidence explanations
• Pace, pause, and emphasis support comprehension of numbers and comparisons
• Question categorisation separates requests for evidence, assumptions, and implications
• Bridging responses return discussion from detail to the governing message
• Objections handled through acknowledgement, evidence, trade-offs, and next steps
• Meeting close confirms decision, owner, deadline, and follow-up evidence

Participants can plan a repeatable approach for improving an upcoming workplace data presentation.

• Current presentation opportunities assessed using audience, decision, and evidence criteria
• Data-story blueprint assigns question, insight, recommendation, and supporting exhibits
• Pre-presentation review checks logic, chart integrity, and action clarity
• Peer feedback criteria assess message, evidence, design, and delivery
• Revision priorities ranked by decision impact and preparation effort
• Personal application plan schedules stakeholder review, rehearsal, and finalisation
• Post-presentation reflection captures questions, decisions, and improvement actions