Course Outline

• Introduction to Tableau: Overview of Tableau software, its features, and applications in data visualization and analytics.
• Connecting to Data Sources: Importing data into Tableau from various sources including databases, spreadsheets, and cloud services.
• Exploring Data with Tableau: Understanding Tableau workspace, data types, dimensions, and measures.
• Building Basic Visualizations: Creating basic charts and graphs such as bar charts, line charts, and scatter plots.
• Advanced Visualizations: Exploring advanced visualization techniques including heatmaps, treemaps, and box plots.
• Calculations and Expressions: Using calculated fields, parameters, and table calculations to perform complex data analysis.
• Interactive Dashboards: Designing interactive dashboards with filters, actions, and parameters to explore and analyze data dynamically.
• Mapping and Spatial Analysis: Visualizing geographic data using maps, layers, and spatial analysis tools in Tableau.
• Storytelling with Data: Creating compelling data stories by combining multiple visualizations into a cohesive narrative.
• Data Preparation and Cleaning: Techniques for cleaning, transforming, and preparing data for analysis in Tableau.
• Collaboration and Sharing: Sharing Tableau workbooks, dashboards, and insights with stakeholders using Tableau Server or Tableau Public.
• Performance Optimization: Optimizing Tableau performance for large datasets, including data extracts and performance tuning..