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Data & Analytics

Data Visualization & Storytelling

Learn the principles and tools of effective data visualization. From choosing the right chart type to designing dashboards that tell compelling stories, this course covers design theory and hands-on practice.

03

Levels

10

Modules

1:1

Live

Enroll NowLive virtual sessions or on-site training
Data Visualization & StorytellingEST. 2025 — GROWWM
Topics / 01

What you will learn.

A snapshot of every topic covered across all three levels. Detailed daily curriculum is in the next section.

10Core topics
01Chart Selection
02Color & Typography
03Pre-Attentive Attributes
04Dashboard Design
05Narrative Structure
06Audience Analysis
07Data-Ink Ratio
08Annotations & Callouts
09Accessibility
10Storyboarding
Curriculum / 02

Three levels.
One path.

Start where you are. Each level builds on the last — from your first formula to enterprise-grade automation.

Build a solid foundation with core concepts and essential skills.

Modules

02 / TOTAL
01

Day 1: Visualization Principles and Chart Selection

  • Why visualization matters: perception, cognition, and decision-making
  • Data types and their ideal chart types: categorical, temporal, spatial
  • Bar charts, line charts, pie charts, and when to use each
  • Scatter plots and bubble charts for correlation analysis
  • Best practices: decluttering, data-ink ratio, and accessibility
  • Color theory: sequential, diverging, and categorical palettes
  • Common visualization mistakes and how to avoid them
02

Day 2: Building Your First Dashboards

  • Dashboard layout principles: hierarchy, flow, and focal points
  • Choosing KPIs and metrics for executive vs. operational dashboards
  • Building dashboards in Excel: charts, slicers, and conditional formatting
  • Introduction to Power BI for interactive report building
  • Adding interactivity: filters, drill-down, and cross-highlighting
  • Designing for mobile and print audiences
  • Presenting dashboards: storytelling with data

After this level

Outcomes
  • 01Choose the right chart type for any dataset and audience
  • 02Apply design principles to create clear, accessible visualizations
  • 03Build basic dashboards in Excel and Power BI
  • 04Present data with a storytelling approach that drives decisions
Audience / 03

Built for doers.

Prerequisites

Basic data literacy.

  • 01Data analysts and business analysts
  • 02Report designers and dashboard builders
  • 03Anyone communicating data to stakeholders
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