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Tableau
Curriculum
6 Sections
31 Lessons
30 Hours
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Module 1: Introduction to Tableau and Data Visualization Basics (4 hours)
5
1.1
Overview of Tableau: Tableau Desktop, Tableau Cloud, Tableau Public
1.2
Importance of data visualization in modern business
1.3
Connecting to various data sources: Excel, CSV, databases, Google Sheets
1.4
Creating basic visualizations: bar charts, line graphs, pie charts, scatter plots
1.5
Understanding Tableau Interface: shelves, marks card, filters, and pages
Module 2: Data Preparation with Tableau Prep (4 hours)
5
2.1
Introduction to Tableau Prep Builder and its interface
2.2
Data profiling, cleaning, filtering, and reshaping data
2.3
Creating Prep Flows: joins, unions, pivots
2.4
Exporting clean data to Tableau Desktop for visualization
2.5
Automating flows and scheduling updates
Module 3: Intermediate Visualizations and Dashboard Design (6 hours)
5
3.1
Advanced chart types: heatmaps, box plots, treemaps, Gantt charts, funnel charts
3.2
Data blending vs. joins: working with multiple data sources
3.3
Creating interactive dashboards using filters, actions, and parameters
3.4
Design best practices: layout, color, spacing, UX principles
3.5
Dashboard performance optimization techniques
Module 4: Advanced Analytics & AI-Powered Features (6 hours)
6
4.1
Calculated fields, parameters, and table calculations
4.2
Level of Detail (LOD) expressions: FIXED, INCLUDE, EXCLUDE
4.3
Trend lines, forecasting, clustering, and seasonality analysis
4.4
Geographic mapping and custom maps
4.5
Using Tableau GPT (Einstein Copilot) and Ask Data for AI-driven insights
4.6
Writing advanced queries and exploring insights with natural language
Module 5: Data Storytelling and Presentation Techniques (4 hours)
4
5.1
Principles of data storytelling: defining audience, narrative arc
5.2
Using Story Points and annotations in Tableau
5.3
Techniques to communicate insights to non-technical stakeholders
5.4
Presenting dashboards for different audiences (executives, analysts, clients)
Module 6: Tableau Cloud, Collaboration, and Embedded Analytics (6 hours)
6
6.1
Introduction to Tableau Cloud and comparison with Tableau Server
6.2
Publishing dashboards to Tableau Cloud
6.3
Managing users, permissions, subscriptions, alerts, and sharing
6.4
Introduction to Tableau Pulse: real-time alerting and decision signals
6.5
Embedding Tableau dashboards into web applications using JavaScript API
6.6
Exploring Tableau Extensions for enhanced interactivity
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