Study guide
Tableau Data Analyst study guide
Read a lesson, then practice the ideas you want to remember.
Lessons
- Spatial Data & Mapping: Geographic Layers &
- Visual Polish: Custom Palettes, Annotations
- Specialized Visualizations: Waterfall, Gantt
- Comparison Visualizations: Bar Charts, Highl
- Trend & Distribution Visualizations: Dual-Ax
- Part-to-Whole & Correlation Charts: Treemaps
- Combining Data: Data Blending vs. Cross-Data
- Data Connections: Live Connections vs. Hyper
- The Tableau Data Model: Relationships vs. Ph
- Dashboard Layout, Devices & Visibility — Free Study Guide 2026
- Filter, Highlight & URL Actions — Free Study Guide 2026
- Advanced Interactivity: Parameter, Set & Nav
- Stories & Visual Storytelling: Sequencing An
- Data Types, Roles, Organization & Default Pr
- In-Desktop Data Cleaning: Splits, Data Inter
- Managing Slowly Changing Dimensions & Data Q
- Certification, Data Quality, Lineage & Permi
- Row-Level Security, Schedules, Subscriptions
- FIXED LOD Expressions: Scoping & Baseline Be
- INCLUDE & EXCLUDE LOD Expressions: Dynamic G
- Level of Detail Architecture & Scoping Synta
- Real-World LOD Patterns: Cohorts, First/Last
- Publishing Workbooks, Data Sources & Flows
- Tableau Server & Cloud: Sites, Projects, Rol
- The Tableau Order of Operations: From Extrac
- Parameters, Parameter Actions & Dynamic What
- Sets, Set Actions & Combined Sets vs. Groups
- Analytics Pane: Totals, References, Trends &
- Essential Table Calculations: Running, Windo
- Navigation & Ranking Functions: LOOKUP, INDE
- Secondary & Nested Table Calculations: Multi
- Table Calculation Mechanics: Addressing vs.
- Aggregation Rules, Granularity & Dealing wit
- Calculations: Logic, Strings, Nulls & Type C
- Dimensions vs. Measures & Discrete vs. Conti
- Mastering Dates: Discrete Date Parts vs. Con
- Tableau Prep Architecture & Data Cleaning
- Joins, Aggregations & Output Destinations in
- Reshaping Data in Prep: Pivots, Splits & Wil