MORE THAN JUST A COURSE
Data Storytelling with Tableau
Course Objective
All students will learn to:
- Understand the difference between exploratory and explanatory analysis
- Distinguish between data visualization and data storytelling
- Learn the data storytelling process
- Learn which charts to use to appropriately analyze data for insights
- Build advanced charts for immediate insights
- Ask the right questions to impact business decisions
- Determine which metrics are important and how to analyze, visualize them appropriately
- Choose the appropriate story type for the data story
- Construct the data story
- Identify common pitfalls of data analysis and visualization
- Apply best practices of data visualization and storytelling
- Communicate insights in a clear, simple way that tells a story to drive action
Course Outline
Part 1: Set Up/Context
- Understanding the difference between data visualization and data storytelling
- The data storytelling process overview
- Starting in Tableau
- Simple Data Connections and the Data Connection Interface
- The Main Tableau Interface and Navigation Menu
- Building Simple Visualizations
- Saving Options
- Dimensions vs. Measures and How They Affect a Viz
- What if We Wanted to Convert a Measure to a Dimension? How Would the Viz Change?
- Continuous vs. Discrete Variables
- Basic Dates
- Setting the Fiscal Year
- Basic Aggregations
Part 2: Analysis
- Distributions of Data, Rankings, Part-to-Whole
- The Standard Bar Chart
- The Side-by-Side Bar
- Pie Charts with Percent of Total
- Bar Chart with Max Color Calculated Field
- Relationships between variables
- Using Measure Names and Measure Values to Build a Data Table
- Totals and Subtotals
- Highlight Tables
- Scatterplots
- Creating Dual Axis Charts and Combo Charts
- Actual vs. Target
- Using Measure Names and Measure Values to Build a Data Table
- Trends and patterns over time
- Advanced Time Series Analytics
- Line Chart with Year over Year Growth
- Running Total Charts
- Advanced Time Series Analytics
- Geographical and spatial relationships
- Filled Map
- Symbol Map
- Dual Axis Map
- Outlier Analysis
- Box Plots
- Secondary characters that help the protagonist (the analysis):
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- Advanced Tooltips
- Annotations
- Dynamic titles
- Sets/Combined Sets
- Conditional Filter (if needed)
- Top/Bottom N Filter (if needed)
Part 3: Select Your Data Story
- Seven types of data stories
- Tableau/data secondary characters:
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- Using KPIs and BANS
- KPI Indicators with YTD vs. Prev YTD (or similar types of time periods)
Part 4: Sketch
- Story Mountain, translated for data
- How will this be visually represented? (Sketch it out)
Part 5: Communicate
- Communicating through story “books”
- Dashboard
- Advanced Formatting & Dashboard Best Practices
- Layout Containers
- Floating Elements
- When to Use Which
- Effective Dashboard Layouts
- Layout Best Practices
- Titles and Labeling
- Color Choices
- Dos & Don’ts
- Dashboard filters for end user use
- Labeling, Annotations, Tooltips and Data Highlighting
- Axis Labels
- Annotations
- Tooltips
- Advanced Formatting & Dashboard Best Practices
- Storypoints
- Dashboard
IF TIME: Choose your own Adventure Stories (for more advanced Tableau users):
- Using Actions to Create Interactive Dashboards
- Filter Actions
- Highlight Actions
- URL Actions
- Parameters
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