Data Storytelling and Data Visualisation

• Data exploration techniques
  • Time series analysis
  • Correlation analysis
  • Outlier detection
• Pattern recognition methods
  • Trend identification
  • Seasonality analysis
  • Cluster analysis
• Statistical analysis fundamentals
  • Descriptive statistics
  • Distribution analysis
  • Hypothesis testing basics
• Portraying Data Patterns, Trends, and Correlations
  • Comparison Techniques: Bar charts, line graphs, heatmaps
  • Relationship Diagrams: Network diagrams, flowcharts, Sankey diagrams
  • Distribution Displays: Histograms, box plots, scatter plots
• Linking Data Insights to Visuals
  • Identifying critical insights
  • Choosing data points for visuals
  • Organizing insights for clarity

• Exploring Visualisation Tools
  • PowerBI 
  • Google Charts 
  • Tableau 
• Exploring Visualization Technique
  • Sankey diagrams for flow analysis 
  • Network graphs for relationship mapping 
  • Treemaps for hierarchical data 
• Strategic mapping techniques
  • Geographic information visualization 
  • Process flow visualization 
  • Organizational structure mapping 
• Business alignment strategies
  • KPI visualization hierarchies 
  • Strategic goal dashboards 
  • Performance scorecards 
• Display optimization techniques
  • Color theory application
  • Typography guidelines 
  • Layout principles 
• Visual impact enhancement
  • Contrast and emphasis 
  • Gestalt principles 
  • Visual hierarchy 
• Data presentation best practices
  • Chart selection guidelines 
  • Data-ink ratio optimization 
  • Visual clutter reduction

• Showcasing what constitutes an effective dashboard and scorecard
• Dashboard creation tools
  • Tableau dashboard layout principles
  • Filter and slicer implementation
  • Cross-filtering and drill-through setup
• Integration of interactive elements
  • Click-through actions
  • Tooltip customization
  • Parameter controls
• Performance optimization for dashboards/ scorecards
  • Calculated fields
  • Statistical measures (moving averages, forecasts)
  • Custom measures and KPIs
• Stakeholder requirements analysis
  • Executive summary dashboards
  • Operational metrics views
  • Department-specific KPIs
• Data presentation validation methods
  • Feedback collection methods
  • Performance benchmarking
• Iteration and refinement processes
  • Version control
  • Change documentation
  • User feedback integration

• Storyboard development
  • Story arc frameworks
  • Context-driven narrative structures
  • Key message sequencing
• Framework creation
  • Problem-solution frameworks
  • Data story templates
  • Decision flow structures
• Context alignment
  • Audience context mapping
  • Business scenario analysis
  • Stakeholders need identification
• Organizational visualization standards
  • Corporate visual style guides
  • Branding-aligned chart templates
  • Standard visualization patterns
• Strategic alignment guidelines
  • KPI visualization standards
  • Goal-aligned reporting templates
  • Strategic metric frameworks
• Best practice documentation
  • Visualization selection guides
  • Implementation playbooks

Data storytelling is the art of turning complex data into clear, engaging narratives using analysis, visuals, and context. It helps audiences understand not just what the data shows, but why it matters—making insights more memorable and actionable. Widely used across industries, it drives decisions, communicates performance, and influences stakeholders effectively.

Data visualisation is the practice of turning raw data into visual formats like charts and graphs, making patterns and insights easier to understand. It helps users quickly interpret complex information, identify trends, and make informed decisions. Widely used in business and research, it enhances communication and brings data to life.

This course has been accredited as a WSQ course and is eligible for funding under the SkillsFuture funding, subject to all eligibility criteria being met. Participants are advised to assess the suitability of the course and its relevance to his/her business activities or job roles. The SkillsFuture Funding provides 50% - 70% course fee subsidy support for direct training costs subject to all eligibility criteria being met.Find out more on https://www.skillsfuture.gov.sg/funding-individuals

Yes. For self-sponsored Singaporeans aged 25 years old and above, you can use your SkillsFuture Credit to offset the remaining course fees after WSQ funding.

To check your SkillsFuture credit balance, please follow these steps:

1. Go to https://myskillsfuture.gov.sg
2. Click on ‘Submit SkillsFuture Credit Claims’
3. Login with your SingPass
4. Click on the arrow (>) at the top right hand corner. You will be able to see a drop-down list of your Available SkillsFuture Credits.

After you have registered for a course, a Aventis representative will reach out to guide you with the SkillsFuture Credits

Yes, all our courses are eligible for Union Training Assistance Programme (UTAP) Funding. NTUC Union members can use UTAP to offset 50% of unfunded course fees (capped at $500 per year).

This claim must be done after completion of the course. Please refer to the UTAP FAQ for more information.

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A laptop is required for this course. No special software or other hardware is required for this course participation.

Upon successful completion of this IBF-accredited course, you'll receive a Data Storytelling and Data Visualisation certification to showcase your knowledge and expertise in this field.

Our programmes are highly respected by leading companies, who actively shape our curriculum and utilize our courses for employee training.