Data visualisation using Tableau

🧱 Course Structure & Content

🔹 Module 1: Getting Started with Tableau

• What is Tableau? Why it’s popular in data visualization

• Tableau Public vs Tableau Desktop vs Tableau Online

• Installing Tableau Public/Desktop

• Interface walkthrough: Data pane, sheets, shelves, cards

• Connecting to different data sources (CSV, Excel, SQL)

🔹 Module 2: Data Preparation and Cleaning

• Data interpreter and metadata management

• Splitting, pivoting, renaming, and grouping data

• Creating calculated fields

• Understanding data types and roles (dimension vs measure)

• Working with date and time fields

🔹 Module 3: Building Basic Visuals

• Creating bar charts, line charts, scatter plots

• Using filters and parameters

• Sorting, grouping, and hierarchies

• Aggregations and summaries

• Using Show Me to choose the right chart

🔹 Module 4: Advanced Charts and Visual Elements

• Dual-axis charts, bullet graphs, and combo charts

• Heat maps, highlight tables, and Gantt charts

• Using color, size, and labels effectively

• Geospatial maps and geographic visualizations

• Tree maps, box plots, and histograms

🔹 Module 5: Dashboard Design and Interactivity

• Building multi-sheet dashboards

• Designing layout: Containers, spacing, titles

• Adding filters, drop-down menus, and parameter controls

• Using actions: Filter, highlight, URL

• Designing for performance and mobile responsiveness

🔹 Module 6: Data Storytelling & Publishing

• Creating Tableau Stories: Sequencing sheets for storytelling

• Best practices for data storytelling

• Exporting dashboards to PDF, PowerPoint, or Tableau Public

• Embedding Tableau visualizations on websites

• Publishing dashboards to Tableau Server or Tableau Public