Live Online Tableau Course for Data Analytics

Live Course Module: Tableau Course for Data Analytics

Total Duration: 30 Hours (5 Weeks)

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Week 1: Introduction to Tableau and Data Visualization (6 Hours)

• Topics:

  • Introduction to Tableau: What, Why, and How

  • Installing Tableau Desktop / Tableau Public

  • Understanding Tableau Interface and Workspace

  • Connecting Tableau with Data Sources (Excel, CSV, Database, Web Data)

  • Basics of Data Visualization and Design Principles

• Outcome:
  Learners will gain foundational knowledge of Tableau environment, interface, and key visualization principles.

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Week 2: Working with Data in Tableau (6 Hours)

• Topics:

  • Data types, data interpretation, and metadata

  • Data joins, blending, and relationships

  • Data preparation and cleaning within Tableau

  • Filters, sorting, and grouping data

  • Using parameters and calculated fields

• Outcome:
  Students will learn to connect, combine, and prepare data efficiently for analysis.

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Week 3: Building Visualizations (6 Hours)

• Topics:

  • Creating charts: Bar, Line, Pie, Map, Scatter, and Tree Map

  • Dual-axis charts and combination charts

  • Highlight tables, heat maps, and bullet graphs

  • Using marks, colors, and labels effectively

  • Customizing visual aesthetics and themes

• Outcome:
  Learners will be able to design insightful and professional visualizations using Tableau’s chart types.

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Week 4: Dashboards, Interactivity & Storytelling (6 Hours)

• Topics:

  • Building interactive dashboards

  • Applying actions: filter, highlight, and URL actions

  • Dashboard layout and design best practices

  • Storytelling with Tableau Stories

  • Mobile dashboard optimization

• Outcome:
  Students will create interactive dashboards and data stories for decision-making presentations.

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Week 5: Advanced Analytics and Real-world Project (6 Hours)

• Topics:

  • Advanced calculations and table calculations

  • Trend lines, forecasting, and reference lines

  • Using Level of Detail (LOD) Expressions

  • Case Study 1: Sales Performance Dashboard

  • Case Study 2: Customer Retention Analysis

  • Publishing and sharing dashboards (Tableau Public/Server)

• Outcome:
  Learners will apply advanced analytics, create professional dashboards, and publish interactive reports for real-world scenarios.

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🎯 Final Deliverables & Outcomes

• Connect Tableau to various data sources and prepare data efficiently.

• Build interactive dashboards and insightful data stories.

• Perform advanced data analytics using calculated fields and LOD expressions.

• Publish and share visual analytics solutions for business use.