Introduction to Tableau | Tableau QuickStart

Part 1: Simplifying and Sorting Your Data

• Data Filtering
• Creating Date Filters
• Sorting

Part 2: Organizing Your Data

• Using Groups
• Creating and Using Hierarchies

Part 3: Slicing Your Data by Date

• Working with Dates in Tableau
• Using Discrete Date Parts
• Defining a Fiscal Year
• Creating Custom Dates

Part 4:Using Multiple Measures in a View

• Using Measure Values and Measure Names in a View
• Combo Charts
• Combined or Shared Axis Charts
• Creating Dual Axis Charts

Part 5: Showing the Relationship between Numerical Values

• Creating Scatter Plots
• Using Sets

Part 6: Viewing Specific Values

• Creating Heat Maps
• Creating Crosstabs
• Creating Highlight Tables
• Grand Totals, Sub-Totals, and Changing Aggregation

Part 7: Customizing Your Data

• Calculation Types
• Parts of a Calculated Field
• Options for Creating Calculated Fields
• Strings, Dates, and Type Conversion Functions
• Calculations and Aggregations

Part 8: Analyzing Data with Quick Table Calculations

• Using Quick Table Calculations

Part 9: Showing Breakdowns of the Whole

• Pie Charts and Parts of the Whole
• Creating Tree Maps

Part 10: Viewing Distributions

• Bins and Histograms
• Box and Whisker Plots

Part 11: Making Your Views Available

• Building Dashboards
• Dashboard Actions

• Tableau users new to using the tool
• Tableau users looking for a refresher of the basics or newer features. 
• Beginner Tableau users who want to quickly get up to speed with intermediate-level Tableau features and functions. 
• Individuals working with data-regardless of technical or analytical background

• Understand Tableau terminology
• Use the Tableau interface/paradigm to effectively create powerful visualizations
• Create basic calculations including string manipulation, basic arithmetic calculations, custom aggregations and ratios, date math, logic statements, and quick table calculations
• Use groups, bins, hierarchies, sorts, sets, and filters to create focused and effective visualizations
• Use Measure Name and Measure Value fields to create visualizations with multiple measures and dimensions.
• Handle changes in your data source such as field addition, deletion, or name changes.
• Share your visualizations with others.
• Combine your visualizations into Interactive Dashboards and publish them to the web.
• Represent your data using the following visualization types: cross tabs, heat maps, distribution charts, treemaps, pie charts and bar charts, dual-axis, and combo charts with different mark types, box plots, highlight tables, and scatter plots