Tableau Curriculum


Module 1: Introduction to Tableau

  • Understanding Data Visualization and its significance
  • Introduction to Tableau: History and Key Features
  • Installing Tableau Desktop and Connecting to Data Sources
  • Exploring the Tableau Interface: Workspace, Shelves, and Cards
  • Creating and Saving a Basic Visualization

Module 2: Data Connection and Transformation

  • Importing Data from Excel, CSV, and Databases
  • Connecting to Web Data Sources
  • Merging and Blending Data from Multiple Sources
  • Data Preparation Techniques: Cleaning and Formatting Data
  • Introduction to Calculated Fields and Aggregations

Module 3: Basic Visualization Techniques

  • Creating Bar Charts, Line Charts, and Pie Charts
  • Working with Filters and Parameters
  • Building Interactive Dashboards
  • Utilizing Quick Table Calculations
  • Applying Formatting and Customizing Visual Elements

Module 4: Advanced Visualization Techniques

  • Geographic Mapping: Plotting Data on Maps
  • Exploring Advanced Chart Types: Heat Maps, Treemaps, Box Plots, etc.
  • Dual-Axis Charts and Combo Charts
  • Storytelling with Data: Crafting Compelling Data Narratives
  • Implementing Drill-Down and Hierarchical Visualizations

Module 5: Data Analytics with Tableau

  • Introduction to Tableau Calculations: Table Calculations vs. Level of Detail (LOD) Expressions
  • Exploring Trend Analysis and Forecasting
  • Statistical Analysis using Tableau: Regression, Correlation, etc.
  • Using Sets and Groups for Data Segmentation
  • Visualizing Time Series Data and Seasonality

Module 6: Data Interactivity and User Experience

  • Implementing Actions: Filter, Highlight, URL, and Parameter Actions
  • Creating Interactive Filters and Dynamic Parameters
  • Designing User-Friendly and Intuitive Dashboards
  • Enhancing Exploration with Tooltips
  • Incorporating Dashboard Best Practices and Design Principles

Module 7: Advanced Topics and Integration

  • Working with Big Data: Introduction to Tableau Server and Tableau Online
  • Integrating Tableau with R and Python for Advanced Analytics
  • Using APIs for Automated Data Refresh and Dashboard Creation
  • Real-time Data Streaming and Visualization

Module 8: Capstone Project

  • Applying Learned Skills to Real-world Scenarios
  • Creating End-to-End Interactive Dashboards
  • Incorporating Data Transformation, Visualization, and User Interaction
  • Presenting Capstone Projects to the Class

Module 9: Beyond the Basics

  • Performance Optimization: Efficient Workbook Design and Querying
  • Troubleshooting Common Issues and Error Messages
  • Tips for Collaborative Work: Sharing Workbooks and Collaborative Editing
  • Exploring Community Resources: Tableau Forums, Blogs, Learning Platforms
  • Continual Learning: Staying Updated with New Tableau Features