Dashboard Design Course

Lesson 1 • What Dashboards Are and Do

Defines dashboards as decision-support tools and distinguishes them from reports and data visualizations. Establishes the baseline vocabulary used throughout the course.

Lesson 2 • Defining Key Metrics and KPIs

Teaches how to select meaningful metrics aligned to business goals and avoid vanity data. Connects metric selection to dashboard scope definition.

Lesson 3 • Setting Dashboard Scope and Goals

Guides students through scoping a dashboard project with clear objectives and constraints. Produces a brief that drives all subsequent design decisions.

Lesson 1 • Basic Statistical Concepts for Designers

Covers averages, distributions, percentages, and rates as they appear in dashboard metrics. Prevents common misrepresentation errors in chart design.

Lesson 2 • Data Preparation Fundamentals

Explains filtering, sorting, joining, and aggregating data for dashboard readiness. Bridges raw data sources to the clean inputs visualization tools require.

Lesson 3 • Evaluating Data Quality

Introduces completeness, accuracy, consistency, and timeliness as quality dimensions. Equips designers to flag data issues before they reach the dashboard.

Lesson 1 • Layout, Grid, and White Space

Teaches grid-based layout construction, visual weight distribution, and strategic use of white space. Directly enables the layout work in the next chapter.

Lesson 2 • Typography and Readability

Establishes rules for font selection, sizing hierarchy, and label placement in data contexts. Ensures text elements support rather than compete with visual data.

Lesson 3 • How Humans Process Visual Information

Explains pre-attentive attributes, working memory limits, and the Gestalt principles as they apply to data displays. Provides the perceptual rationale for every design rule.

Lesson 4 • Color Theory for Data Visualization

Covers sequential, diverging, and categorical color palettes and their appropriate use cases. Addresses accessibility requirements for color-deficient users.

Lesson 1 • Comparison and Ranking Charts

Covers bar, column, and dot plot charts for comparing discrete values across categories. Teaches axis scaling, sorting, and labeling for accurate comparison.

Lesson 2 • Chart Selection Framework

Introduces a decision framework based on data relationship type: comparison, composition, distribution, and trend. Prevents the common error of choosing charts by familiarity.

Lesson 3 • Part-to-Whole and Distribution Charts

Evaluates pie, donut, treemap, and histogram charts for composition and distribution use cases. Establishes when each is appropriate and when alternatives are better.

Lesson 4 • Trend and Time-Series Charts

Covers line charts, area charts, and sparklines for displaying change over time. Addresses axis truncation, dual axes, and period-over-period comparisons.

Lesson 1 • Information Hierarchy on a Dashboard

Establishes how to rank information by importance and translate that ranking into visual prominence. Ensures users reach critical insights without scanning the entire screen.

Lesson 2 • Wireframing Dashboard Layouts

Teaches low-fidelity wireframing as a fast method to test layout logic before building. Produces a reusable wireframe template for common dashboard patterns.

Lesson 3 • Responsive and Multi-Device Layouts

Adapts dashboard layouts for desktop, tablet, and mobile viewing contexts. Teaches prioritization of content when screen real estate is constrained.

Lesson 4 • Consistency and Design Systems

Builds a reusable component library and style guide to ensure visual consistency across dashboards. Reduces design time and enforces brand alignment.

Lesson 1 • Usability Testing for Dashboards

Applies task-based usability testing methods to identify navigation and comprehension failures. Produces actionable findings to improve dashboard UX before release.

Lesson 2 • Filters, Slicers, and Parameters

Covers dropdown, date range, search, and toggle filter types and their placement conventions. Teaches how filter scope affects cross-chart behavior.

Lesson 3 • Tooltips and Contextual Information

Designs informative tooltips that surface supporting data without cluttering the main view. Covers custom tooltip content, formatting, and trigger behavior.

Lesson 4 • Drill-Down and Drill-Through Design

Designs hierarchical exploration paths that let users move from summary to detail. Addresses breadcrumb navigation and back-navigation patterns.

Lesson 1 • Why Dashboard Performance Matters

Connects slow load times to user abandonment and data trust erosion. Frames performance as a design constraint equal in importance to visual quality.

Lesson 2 • Visual Element Performance

Identifies high-cost visual elements such as large tables, custom visuals, and dense scatter plots. Teaches substitution strategies that preserve insight while cutting render cost.

Lesson 3 • Query and Data Model Optimization

Covers pre-aggregation, query reduction, and efficient data model design to reduce computation at render time. Directly reduces dashboard load latency.

Lesson 4 • Monitoring and Maintaining Dashboards

Establishes ongoing monitoring practices for usage, errors, and data drift after deployment. Prevents dashboard decay and ensures long-term reliability.

Lesson 1 • Aligning Dashboards to Business Strategy

Maps dashboard metrics to strategic objectives using frameworks like balanced scorecards. Ensures dashboards drive decisions that advance organizational goals.

Lesson 2 • Measuring Dashboard Business Impact

Defines methods to quantify the business value delivered by dashboards through decision outcomes. Builds the case for continued investment in dashboard programs.

Lesson 3 • Access Control and Data Security

Covers row-level security, role-based access, and data sensitivity classification for dashboards. Ensures the right users see only the data they are authorized to view.

Lesson 4 • Dashboard Governance Frameworks

Defines ownership, certification, and lifecycle policies for dashboards across an organization. Prevents metric inconsistency and dashboard sprawl.