My Skill Lab
Data ScienceBeginner

Data Visualization & Storytelling

Make charts that inform — and persuade honestly.

Taught by Niraj Thapa · Analytics Lead

What you'll learn

  • Match the right chart type to the question you are answering, instead of defaulting to bars and pies
  • Use pre-attentive attributes (position, length, colour, size) to make the key insight pop in milliseconds
  • Build accessible, intentional colour palettes that survive colour-blindness and greyscale printing
  • Declutter a chart by removing chartjunk and raising the data-ink ratio without losing meaning
  • Design a dashboard that answers its top questions above the fold and respects visual hierarchy
  • Spot and avoid misleading visuals — truncated axes, dual axes, 3D pies — and structure a data story your audience acts on

About this course

Most charts fail not because the data is wrong, but because the visual choices bury the point. This course teaches you to pick the right chart for each question, lean on how human perception actually works, strip away clutter, use colour with intent, and wrap it all in a narrative that moves your audience to a decision — without ever distorting the truth.

Course content

8 lessons
  1. 1Why Most Charts FailThe gap between showing data and communicating an insight, and the mindset shift that closes it.Preview
  2. 2Choosing the Right ChartA decision framework that maps the question you're asking to the chart that answers it best.Preview
  3. 3Pre-attentive AttributesHow human perception processes some visual properties instantly, and how to exploit that to direct attention.
  4. 4Using Colour with IntentChoosing palette types, ensuring accessibility, and treating colour as a deliberate signal rather than decoration.
  5. 5Decluttering & Data-InkRemoving chartjunk and maximising the share of ink that carries data, so the signal isn't buried.
  6. 6Designing Effective DashboardsArranging multiple charts so the most important question is answered first and the layout guides the eye.
  7. 7Avoiding Misleading VisualsThe common ways charts distort the truth — and how to detect and avoid them, even by accident.
  8. 8Structuring a Data NarrativeWrapping your charts in a story arc that takes an audience from context to insight to a decision.