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πŸ“Š Tableau Learning Roadmap 2026

If you're starting Tableau from scratch, follow this order. Focus on one stage at a time and practice each concept before moving ahead.

🟒 Part 1 β€” Tableau Fundamentals

β€’ What is Tableau?

β€’ Tableau Desktop, Tableau Cloud, Tableau Server, Tableau Public

β€’ Workbook, worksheet, dashboard and story

β€’ Dimensions vs Measures

β€’ Discrete vs Continuous

β€’ Tableau interface, Rows, Columns and Marks card, Show Me

🎯 Goal: Understand Tableau and become comfortable with the interface.

🟒 Part 2 β€” Connecting to Data

β€’ Excel, CSV, Text files, Databases, Cloud data sources, Web data

β€’ Live connection, Extracts

β€’ Data source filters, Data source properties

🎯 Goal: Connect Tableau to different data sources confidently.

🟑 Part 3 β€” Data Preparation

β€’ Data types, Rename fields, Split fields, Pivot, Union, Join, Relationships, Data blending

β€’ Handling null values, Cleaning data, Data Interpreter

🎯 Goal: Prepare your data properly before analysis.

🟑 Part 4 β€” Basic Visualizations

Learn to create:

β€’ Bar charts, Column charts, Line charts, Area charts, Pie charts, Scatter plots, Heat maps, Treemaps, Tables, Maps, KPI cards

Also learn:

β€’ Sorting, Filtering, Grouping, Hierarchies, Labels, Colors, Size, Detail, Tooltips

🎯 Goal: Know how to choose and build the right visual for a business question.

🟑 Part 5 β€” Calculated Fields

β€’ Calculated fields

β€’ Arithmetic / String / Date / Logical calculations

β€’ IF / ELSEIF, CASE, NULL handling

β€’ Number functions, Date functions, String functions

🎯 Goal: Create your own business metrics.

πŸ”΅ Part 6 β€” Filters & Analytics

β€’ Dimension filters, Measure filters, Date filters, Context filters, Extract filters, Data source filters, Top N filters, Conditional filters, Relative date filters

β€’ Reference lines, Trend lines, Forecasting, Analytics pane

🎯 Goal: Analyze data from different perspectives.

πŸ”΅ Part 7 β€” Table Calculations

β€’ Running total, Difference, Percent of total, Moving average, Rank

β€’ WINDOW_SUM, WINDOW_AVG, LOOKUP, INDEX, FIRST, LAST

🎯 Goal: Perform calculations based on the values displayed in your visualization.

πŸ”΅ Part 8 β€” LOD Expressions

Master:

β€’ FIXED, INCLUDE, EXCLUDE

Understand:

β€’ Why LOD expressions are needed

β€’ LOD vs normal calculations

β€’ LOD vs table calculations

β€’ Nested LOD expressions

β€’ Real-world business use cases

🎯 Goal: Handle complex level-of-detail calculations.

🟣 Part 9 β€” Parameters

β€’ Parameters, Parameter controls, Parameter actions

β€’ Dynamic calculations, Dynamic titles, Dynamic measures

β€’ Measure swapping, Dimension swapping, What-if analysis

🎯 Goal: Make your dashboards dynamic and interactive.

🟣 Part 10 β€” Advanced Visualizations

Build:

β€’ Dual-axis charts, Combination charts, Pareto charts, Waterfall charts, Funnel charts, Bullet charts, Gantt charts, Sankey-style charts, Lollipop charts, Bump charts, Sparklines, Control charts

🎯 Goal: Go beyond basic charts and create analytical visualizations.

🟣 Part 11 β€” Maps & Geospatial Analysis

β€’ Geographic roles, Latitude & Longitude, Symbol maps, Filled maps, Density maps, Dual-axis maps, Spatial data, Custom geocoding, Map layers

🎯 Goal: Perform meaningful geographic analysis.
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