1: Introduction to Interactivity in Tableau

1.1: Understanding Interactive Visualizations
1.1.1: The importance of interactivity in data exploration
1.1.2: How interactive visualizations enhance user engagement
1.1.3: Examples of interactive visualizations in Tableau

1.2: Overview of Tableau’s Interactivity Features
1.2.1: Introduction to Tableau’s interactive elements: filters, highlights, and actions
1.2.2: Navigating the Tableau interface for interactive design
1.2.3: Setting up your Tableau environment for interactive visualization

1.3: Planning for Interactivity
1.3.1: Defining goals and objectives for interactive visualizations
1.3.2: Identifying key user interactions and requirements
1.3.3: Designing a user-centric approach for interactivity

2: Creating Interactive Filters and Parameters

2.1: Implementing Filters in Tableau
2.1.1: Adding filters to visualizations and dashboards
2.1.2: Using filter types: categorical, range, relative dates
2.1.3: Configuring filter settings for enhanced usability

2.2: Using Parameters for Dynamic Control
2.2.1: Creating and configuring parameters in Tableau
2.2.2: Using parameters for dynamic filtering and control
2.2.3: Incorporating parameters into calculations and visualizations

2.3: Combining Filters and Parameters
2.3.1: Creating complex interactive scenarios with filters and parameters
2.3.2: Best practices for using multiple filters and parameters together
2.3.3: Managing performance with multiple interactive elements

3: Adding Interactive Elements to Dashboards

3.1: Interactive Actions
3.1.1: Types of interactive actions: filter actions, highlight actions, URL actions
3.1.2: Configuring and applying filter actions to connect multiple visualizations
3.1.3: Using highlight actions to emphasize data points and trends

3.2: Building Interactive Dashboards
3.2.1: Designing dashboards that facilitate user interaction
3.2.2: Using containers and layout options to enhance interactivity
3.2.3: Adding navigation and drill-down features to dashboards

3.3: Best Practices for Dashboard Interactivity
3.3.1: Ensuring clarity and usability in interactive dashboards
3.3.2: Managing user expectations and interaction complexity
3.3.3: Testing and iterating on interactive elements

4: Enhancing User Engagement with Advanced Interactivity

4.1: Dynamic Dashboards and User Control
4.1.1: Creating dashboards that adapt based on user input
4.1.2: Implementing dynamic parameter-driven dashboards
4.1.3: Using dashboard actions to create seamless user experiences

4.2: Creating Interactive Storytelling Experiences
4.2.1: Integrating interactive elements into Tableau Stories
4.2.2: Designing engaging story points with interactive features
4.2.3: Using interactivity to guide users through data narratives

4.3: Leveraging Custom Visualizations and Extensions
4.3.1: Incorporating custom visualizations and Tableau extensions for advanced interactivity
4.3.2: Exploring third-party tools and libraries for interactive features
4.3.3: Customizing visualizations with JavaScript and HTML for enhanced user experience

5: Performance Optimization and Troubleshooting

5.1: Optimizing Interactive Dashboards for Performance
5.1.1: Techniques for improving the performance of interactive dashboards
5.1.2: Managing large datasets and complex interactions
5.1.3: Best practices for efficient dashboard design

5.2: Troubleshooting Common Interactivity Issues
5.2.1: Identifying and resolving common issues with interactive elements
5.2.2: Debugging and testing interactive features
5.2.3: Techniques for ensuring reliable performance and user experience

5.3: Monitoring and Analyzing User Interaction
5.3.1: Using Tableau Server or Tableau Online to track user engagement
5.3.2: Analyzing interaction data to improve dashboards
5.3.3: Gathering and incorporating user feedback for continuous improvement

6: Real-World Applications and Case Studies

6.1: Case Studies of Interactive Visualizations
6.1.1: Analyzing successful interactive visualizations from various industries
6.1.2: Lessons learned and best practices from real-world examples
6.1.3: Discussion of different interactive design approaches

6.2: Implementing Interactive Solutions in Business
6.2.1: Practical applications of interactive visualizations in different business contexts
6.2.2: Designing interactive dashboards for specific business needs
6.2.3: Aligning interactive features with business objectives and user requirements

7: Capstone Project and Review

7.1: Capstone Project Overview
7.1.1: Guidelines for the capstone project: Creating an interactive dashboard
7.1.2: Selecting a dataset and defining interactive elements
7.1.3: Designing and implementing a complete interactive solution

7.2: Project Work and Presentations
7.2.1: Working on individual capstone projects
7.2.2: Peer review and group feedback sessions
7.2.3: Final project presentations

7.3: Final Review and Next Steps
7.3.1: Summary of key concepts and techniques
7.3.2: Exploring advanced topics and further learning resources
7.3.3: Course conclusion and participant feedback