The Course Curriculum

Module 1: Introduction to Tableau

• Understanding the role of data visualization in decision-making
• Overview of Tableau and its capabilities
• Tableau product offerings: Tableau Desktop, Tableau Server, Tableau Online

Module 2: Getting Started with Tableau Desktop

• Installing Tableau Desktop
• Connecting to data sources (Excel, CSV, databases)
• Introduction to Tableau interface: worksheets, dashboards, and stories

Module 3: Data Preparation in Tableau

• Understanding Tableau data types and roles
• Data cleansing and transformation techniques in Tableau
• Joining and blending data from multiple sources

Module 4: Building Basic Visualizations

• Creating bar charts, line charts, and scatter plots
• Customizing visualizations with colors, shapes, and sizes
• Using filters and parameters to interact with data

Module 5: Advanced Visualization Techniques

• Creating advanced charts: heatmaps, treemaps, histograms
• Implementing reference lines, bands, and distributions
• Building interactive dashboards with actions and filters

Module 6: Geographic Mapping in Tableau

• Plotting geographic data on maps
• Customizing map layers and styles
• Analyzing spatial patterns and trends

Module 7: Calculations and Expressions

• Introduction to Tableau calculations: calculated fields and table calculations
• Using functions and operators in Tableau calculations
• Implementing conditional logic and aggregation functions

Module 8: Advanced Analytics in Tableau

• Implementing trend lines, forecasting, and clustering
• Calculating moving averages and cumulative totals
• Performing statistical analysis with Tableau

Module 9: Sharing and Collaborating with Tableau

• Publishing workbooks to Tableau Server or Tableau Online
• Creating and managing user permissions and access
• Embedding Tableau visualizations in web pages and applications

Module 10: Tableau Best Practices

• Design principles for effective data visualization
• Performance optimization techniques in Tableau
• Documenting and sharing best practices within the organization

Module 11: Tableau Integration and Extensibility

• Integrating Tableau with other tools and platforms (R, Python, Salesforce)
• Extending Tableau functionality with custom extensions and APIs
• Leveraging Tableau Prep for data preparation and cleaning

Module 12: Advanced Topics and Case Studies

• Advanced Tableau features: set actions, parameter actions, LOD calculations
• Case studies and real-world examples of Tableau implementations
• Tips and tricks for becoming a Tableau power user

Module 13: Tableau Certification and Career Path

• Overview of Tableau certification exams and preparation resources
• Career opportunities for Tableau professionals
• Building a portfolio of Tableau projects and showcasing skills