Creating Bespoke Data Visualisations in Tableau - Part One

Übersicht

Tableau Desktop is often referred to as the Gold Standard for Data Visualization, DataDiscovery and Self-Service Data Analytics, and caters for all users from IT Practitioners, to Data Scientists, to Data Consumers. In this course, we are going to push the limits of what we can show in Tableau by creating Bespoke (Custom) Data Visualizations, and more importantly, learn the techniques required, push our boundaries, and stretch our imagination.

Lehrplan

• Introduction to Tableau
Overview of Tableau Desktop
Understanding the Tableau interface
Connecting to data sources
• Fundamentals of Data Visualization
Principles of effective data visualization
Types of visualizations in Tableau
Choosing the right chart or graph
• Customizing Data Visualizations
Using calculated fields to enhance insights
Customizing aesthetics: colors, shapes, and sizes
Leveraging filters, tooltips, and annotations
• Advanced Chart Types
Heat maps and highlight tables
Treemaps and bubble charts
Dual-axis and combo charts
• Creating Bespoke Visualizations
Using advanced calculations (Level of Detail expressions)
Building custom map visualizations
Creating dynamic dashboards with interactive elements
• Techniques for Innovative Design
Storytelling with data using Tableau stories
Incorporating external data for enriching visualizations
Using extensions to enhance Tableau's capabilities
• Pushing the Limits with Tableau
Exploring the Tableau community and resources
Case studies of innovative Tableau visualizations
Best practices for bespoke visualization design
• Final Project
Design and develop a bespoke data visualization
Present your visualization and articulate design choices
Receive feedback and iterate on your visualization
• Conclusion and Next Steps
Review of key techniques and skills acquired
Resources for continued learning in Tableau and data visualization
Introduction to Part Two: Advanced Techniques and Integration with Advanced Analytics

---

Unterrichtet von

Toan Hoang

---

Fachgebiete

Data Science