Tableau Tutorial
Tableau Tutorials Roadmap
Section 1: Introduction to Tableau and Data Visualization
-
What is Tableau?
- Understanding Tableau as a leading data visualization and business intelligence tool.
- Key features and benefits (ease of use, interactive dashboards, connecting to various data sources, sharing insights).
- Different Tableau products (Tableau Desktop, Tableau Public, Tableau Server, Tableau Cloud/Online, Tableau Prep).
- Use cases of Tableau in various industries.
-
Setting up Tableau:
- Downloading and installing Tableau Desktop (Trial or Public).
- Understanding the Tableau Interface (Start Page, Data Source Page, Worksheet, Dashboard, Story).
-
Connecting to Data:
- Connecting to common data sources (Excel, CSV, Text Files).
- Understanding different connection types (Live vs. Extract).
- Exploring the Data Source Page (previewing data, data types, renaming fields).
-
Understanding Data Concepts in Tableau:
- Dimensions vs. Measures.
- Discrete vs. Continuous.
Section 2: Building Basic Visualizations
- Understanding the "Show Me" Feature.
-
Creating Common Chart Types:
- Bar Charts.
- Line Charts.
- Pie Charts.
- Scatter Plots.
- Histograms.
- Maps (basic).
- Placing Fields on Shelves (Columns, Rows, Marks, Filters, Pages).
-
Understanding the Marks Card:
- Color, Size, Label, Detail, Tooltip.
- Changing Mark Types.
Section 3: Working with Data in Tableau
- Sorting Data.
-
Filtering Data:
- Quick Filters.
- Context Filters.
- Filter Actions (in dashboards).
- Grouping Data.
- Creating Hierarchies.
-
Working with Dates:
- Date Parts and Date Values.
- Discrete vs. Continuous Dates.
- Date Functions.
Section 4: Calculations and Parameters
- Understanding Calculations in Tableau.
-
Creating Basic Calculations:
- Calculated Fields.
- Aggregate Functions.
- Basic Arithmetic Operations.
-
Creating Parameters:
- Understanding the purpose of parameters.
- Creating and using parameters in calculations and filters.
-
Quick Table Calculations:
- Running Total, Percentage of Total, Difference, etc.
Section 5: Building Dashboards and Stories
-
Understanding Dashboards:
- Purpose and best practices for dashboard design.
- Adding worksheets to a dashboard.
- Layout Containers (Horizontal and Vertical).
-
Adding Objects to a Dashboard:
- Text, Images, Web Pages, Blank Objects.
-
Dashboard Actions:
- Filter Actions.
- Highlight Actions.
- URL Actions.
- Go to Sheet Actions.
-
Creating Stories:
- Understanding stories as a sequence of visualizations.
- Adding dashboards and worksheets to a story.
Section 6: Advanced Data Connectivity and Preparation
- Connecting to Multiple Data Sources.
-
Joining Tables:
- Understanding different join types (Inner, Left, Right, Outer).
- Join Clauses.
-
Blending Data:
- Understanding data blending and its differences from joining.
- Primary and Secondary Data Sources.
- Data Interpreter and Pivot.
- Working with Metadata (Aliases, Renaming, Hiding Fields).
-
Introduction to Tableau Prep (Optional):
- Understanding the need for data preparation.
- Basic data cleaning and transformation steps in Tableau Prep.
Section 7: Advanced Visualizations and Techniques
- Dual Axis Charts.
- Combination Charts.
- Highlight Tables and Heat Maps.
- Treemaps and Packed Bubbles.
-
Working with Geographic Data:
- Creating Symbol Maps and Filled Maps.
- Geocoding.
- Custom Geocoding.
-
Sets:
- Creating and using sets.
- Combined Sets.
-
Level of Detail (LOD) Expressions:
- Understanding the concept of LOD expressions.
FIXED
,INCLUDE
, andEXCLUDE
expressions.
Section 8: Sharing and Collaborating
- Publishing to Tableau Public.
-
Introduction to Tableau Server and Tableau Cloud/Online:
- Understanding their role in collaboration and sharing.
- Publishing workbooks to a server.
- Permissions and Security (on Server/Cloud).
- Embedding Tableau Visualizations.
Section 9: Advanced Calculations and Analytics
- String Functions.
- Date Functions (Advanced).
-
Logical Functions (
IF
,CASE
). - Using Parameters in Advanced Calculations.
- Forecasting.
- Trend Lines.
- Reference Lines, Bands, and Distribution.
Section 10: Performance Tuning and Best Practices
- Optimizing Data Connections and Extracts.
- Designing Efficient Dashboards.
- Understanding the Impact of Filters and Calculations on Performance.
- Best Practices for Data Visualization.
Section 11: Project Building and Practice
- Analyzing a sample dataset (e.g., Superstore dataset).
- Creating a dashboard to answer specific business questions.
- Working with real-world datasets (from data sources like Kaggle or government data portals).
- Recreating existing visualizations or dashboards.
Section 12: Further Learning and Community
- Official Tableau Documentation and Help (help.tableau.com).
- Tableau Public Gallery (public.tableau.com/gallery).
- Tableau Community Forums.
- Tableau Training Resources (free and paid).
- Online Courses and Tutorials (Udemy, Coursera, YouTube).
- Tableau User Groups.
- Exploring Tableau Blogs and Websites (e.g., Tableau Zen Masters' blogs).
- Preparing for Tableau Certification (Tableau Desktop Specialist, Certified Associate).