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Data Visualization with Tableau
Curriculum
5 Sections
5 Lessons
20 Hours
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Session 1: Introduction to Tableau and Data Visualization (4 hours)
1
1.1
Topics:
What is Tableau? Why use it? Role of data visualization in business analytics
Introduction to Tableau Public interface Connecting to data sources (CSV, Excel, etc.)
Hands-on: Connect to sample data and create your first visualization (bar, pie, line charts)
Session 2: Data Pre processing in Tableau (4 hours)
1
2.1
Topics:
Understanding data types and field properties Data interpreter and data cleaning
Renaming, grouping, and splitting data Using calculated fields and basic functions
Hands-on: Clean and transform a messy dataset
Session 3: Working with Multiple Tables (Joins, Blends, Relationships) (4 hours)
1
3.1
Topics:
Combining data from multiple tables (joins and blends) Understanding data relationships in Tableau
Primary vs. secondary data sources Hands-on: Join sales and customer tables, perform calculations
Session 4: External Data Integration and Advanced Visualization Techniques (4 hours)
1
4.1
Topics:
Importing external datasets (Tableau Public Gallery, Excel, Google Sheets) Advanced chart types: heat maps, maps, scatter plots
Filters, parameters, and hierarchies Hands-on: Build a multi-source dashboard using internal and external data
Session 5: Dashboard Design, Storytelling, and Capstone Project (4 hours)
1
5.1
Topics:
Best practices for dashboard and story design Interactive elements: filters, actions, tooltips
Publishing and sharing dashboards on Tableau Public Capstone project briefing and presentations
Hands-on: Build and present a business dashboard based on a real-world dataset
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