Free text-first course
Data Visualization and Dashboard Storytelling
An honest dashboard-style story with static charts, statistical visuals, interactive exploration, captions, accessibility notes, and limitations.
What you will be able to do
An honest dashboard-style story with static charts, statistical visuals, interactive exploration, captions, accessibility notes, and limitations.
Use a repeatable workflow instead of disconnected tips.
Check assumptions, evidence, output quality, and limitations before using results.
Create a capstone artifact that can be inspected, improved, and reviewed.
What you need before starting
Learners who want to turn analysis results into honest charts, readable dashboards, and clear data stories.
Basic Statistics for Data Analysis is recommended. Data Analysis and Visualization with Python is helpful.
Static lessons, activities, knowledge checks, learner templates, and a downloadable text-first pack.
13-module course sequence
The sequence follows the approved detailed syllabus and is implemented as a complete text-first shell.
Module 01
What a Good Chart Is Supposed to Do
- Learn how What a Good Chart Is Supposed to Do fits into chart and dashboard storytelling instead of treating it as an isolated topic.
- Practice by create or critique a small chart/dashboard decision using the module idea, then compare the result with the module review checklist.
- Produce a chart note with audience, design choice, interpretation, and limitation before moving ahead in Data Visualization and Dashboard Storytelling.
Module 02
Data Questions, Audience, and Decision Context
- Learn how Data Questions, Audience, and Decision Context fits into chart and dashboard storytelling instead of treating it as an isolated topic.
- Practice by create or critique a small chart/dashboard decision using the module idea, then compare the result with the module review checklist.
- Produce a chart note with audience, design choice, interpretation, and limitation before moving ahead in Data Visualization and Dashboard Storytelling.
Module 03
Chart Anatomy: Axes, Labels, Scales, Legends, and Annotations
- Learn how Chart Anatomy: Axes, Labels, Scales, Legends, and Annotations fits into chart and dashboard storytelling instead of treating it as an isolated topic.
- Practice by create or critique a small chart/dashboard decision using the module idea, then compare the result with the module review checklist.
- Produce a chart note with audience, design choice, interpretation, and limitation before moving ahead in Data Visualization and Dashboard Storytelling.
Module 04
Comparison Charts: Bars, Slopes, Dot Plots, and Ranking
- Learn how Comparison Charts: Bars, Slopes, Dot Plots, and Ranking fits into chart and dashboard storytelling instead of treating it as an isolated topic.
- Practice by create or critique a small chart/dashboard decision using the module idea, then compare the result with the module review checklist.
- Produce a chart note with audience, design choice, interpretation, and limitation before moving ahead in Data Visualization and Dashboard Storytelling.
Module 05
Time-Series Charts and Trend Explanations
- Learn how Time-Series Charts and Trend Explanations fits into chart and dashboard storytelling instead of treating it as an isolated topic.
- Practice by create or critique a small chart/dashboard decision using the module idea, then compare the result with the module review checklist.
- Produce a chart note with audience, design choice, interpretation, and limitation before moving ahead in Data Visualization and Dashboard Storytelling.
Module 06
Distribution Charts and Uncertainty Communication
- Learn how Distribution Charts and Uncertainty Communication fits into chart and dashboard storytelling instead of treating it as an isolated topic.
- Practice by create or critique a small chart/dashboard decision using the module idea, then compare the result with the module review checklist.
- Produce a chart note with audience, design choice, interpretation, and limitation before moving ahead in Data Visualization and Dashboard Storytelling.
Module 07
Relationship Charts: Scatter, Regression, and Grouped Patterns
- Learn how Relationship Charts: Scatter, Regression, and Grouped Patterns fits into chart and dashboard storytelling instead of treating it as an isolated topic.
- Practice by create or critique a small chart/dashboard decision using the module idea, then compare the result with the module review checklist.
- Produce a chart note with audience, design choice, interpretation, and limitation before moving ahead in Data Visualization and Dashboard Storytelling.
Module 08
Color, Accessibility, and Visual Hierarchy
- Learn how Color, Accessibility, and Visual Hierarchy fits into chart and dashboard storytelling instead of treating it as an isolated topic.
- Practice by create or critique a small chart/dashboard decision using the module idea, then compare the result with the module review checklist.
- Produce a chart note with audience, design choice, interpretation, and limitation before moving ahead in Data Visualization and Dashboard Storytelling.
Module 09
Matplotlib for Controlled Static Figures
- Learn how Matplotlib for Controlled Static Figures fits into chart and dashboard storytelling instead of treating it as an isolated topic.
- Practice by create or critique a small chart/dashboard decision using the module idea, then compare the result with the module review checklist.
- Produce a chart note with audience, design choice, interpretation, and limitation before moving ahead in Data Visualization and Dashboard Storytelling.
Module 10
Seaborn for Statistical Exploration
- Learn how Seaborn for Statistical Exploration fits into chart and dashboard storytelling instead of treating it as an isolated topic.
- Practice by create or critique a small chart/dashboard decision using the module idea, then compare the result with the module review checklist.
- Produce a chart note with audience, design choice, interpretation, and limitation before moving ahead in Data Visualization and Dashboard Storytelling.
Module 11
Plotly for Interactive Exploration
- Learn how Plotly for Interactive Exploration fits into chart and dashboard storytelling instead of treating it as an isolated topic.
- Practice by create or critique a small chart/dashboard decision using the module idea, then compare the result with the module review checklist.
- Produce a chart note with audience, design choice, interpretation, and limitation before moving ahead in Data Visualization and Dashboard Storytelling.
Module 12
Dashboard Layout, Narrative Flow, and Executive Summary
- Learn how Dashboard Layout, Narrative Flow, and Executive Summary fits into chart and dashboard storytelling instead of treating it as an isolated topic.
- Practice by create or critique a small chart/dashboard decision using the module idea, then compare the result with the module review checklist.
- Produce a chart note with audience, design choice, interpretation, and limitation before moving ahead in Data Visualization and Dashboard Storytelling.
Module 13
Capstone: Dashboard Story with Chart Critique and Limitations
- Learn how Capstone: Dashboard Story with Chart Critique and Limitations fits into chart and dashboard storytelling instead of treating it as an isolated topic.
- Practice by create or critique a small chart/dashboard decision using the module idea, then compare the result with the module review checklist.
- Produce a chart note with audience, design choice, interpretation, and limitation before moving ahead in Data Visualization and Dashboard Storytelling.
Course status: outline published, lessons in development
The full syllabus, module structure, activities, and download pack are published and free to use now. Detailed lesson writing is still in progress, so lesson pages currently give the shape of each topic rather than the final teaching depth. Per-module assessments, worked examples, instructional diagrams, and external specialist review are planned next.