1. Introduction to Tableau & data visualization 

• Understanding Tableau's Role: Explanation of Tableau as a data visualization and Business Intelligence (BI) tool and its value in analytics.
• Key Features and Benefits: Overview of Tableau's features, including its user-friendly interface, drag-and-drop functionality, and real-time data analysis capabilities.
• Tableau Product Family: Introduction to Tableau Desktop, Server, Public, Online, Prep, and Reader. 

2. Connecting to data sources 

• Supported Connectors: Connecting to various data sources like spreadsheets, databases (SQL, Oracle), cloud platforms (Salesforce, Google Analytics, AWS), and big data platforms (Hadoop, Amazon Redshift).
• Live vs. Extract Connections: Understanding the differences and advantages of using live connections versus extracts.
• Data Joins and Blending: Combining data from multiple tables and sources using joins, unions, and blends. 

3. Data preparation & cleaning 

• Tableau Prep Builder: Cleaning, shaping, and transforming data using tools like Data Interpreter, pivots, and splits.
• Managing Data Types: Understanding and adjusting data types for accurate analysis.
• Filtering and Organizing Data: Techniques for filtering data at the source level, creating hierarchies, and grouping. 

4. Building visualizations 

• Basic Charts: Creating common chart types like bar charts, line charts, pie charts, and text tables.
• Advanced Charts: Exploring specialized visualizations like heat maps, tree maps, scatter plots, bubble charts, and geographical maps.
• Customizing Visuals: Enhancing charts with colors, labels, tooltips, and annotations. 

5. Calculations & parameters 

• Calculated Fields: Creating custom calculations using built-in functions (string, date, logical, aggregate).
• Table Calculations: Applying advanced calculations like running totals, moving averages, and percent of total.
• Level of Detail (LOD) Expressions: Performing calculations at various levels of detail using FIXED, INCLUDE, and EXCLUDE expressions.
• Parameters: Enabling interactive filters, dynamic values, and what-if scenarios in visualizations. 

6. Dashboards & stories 

• Dashboard Design: Creating interactive dashboards, layout optimization, and incorporating various visualizations.
• Dashboard Objects: Working with dashboard components like text, images, and layout containers.
• Interactivity: Adding filters, highlight actions, URL actions, and other interactive elements to dashboards.
• Storytelling with Data: Creating story points and guiding users through a data narrative. 

7. Sharing & collaboration 

• Publishing Workbooks: Sharing visualizations and dashboards on Tableau Server or Tableau Cloud.
• Data Source Publishing: Publishing and managing data sources for broader access and control.
• Collaboration Features: Utilizing features like comments, subscriptions, and web editing for team collaboration. 

8. Advanced topics & best practices 

• Performance Optimization: Designing efficient workbooks, leveraging data extracts, and optimizing calculations.
• Data Visualization Best Practices: Choosing appropriate chart types, using effective color palettes, and creating visually compelling dashboards.
• Accessibility: Building accessible data views for diverse users, including those with disabilities.
• Troubleshooting & Debugging: Identifying and resolving issues in dashboards and data connections.
• Career Opportunities: Overview of career paths like data analyst, business intelligence analyst, and data scientist. 

9. Hands-on projects & case studies 

• Real-World Scenarios: Applying Tableau skills to solve business problems and create dashboards for various industries.
• Practical Assignments: Working on hands-on exercises and projects to build a portfolio of Tableau visualizations.
• Certification Preparation: Preparing for Tableau certifications like the Desktop Specialist and Certified Associate exams.