Tableau Expert: Top Visualization Techniques in Tableau 10

Become An Expert In Tableau 10 - Master Visualisation Techniques Including Sankey Diagrams, Viola Charts And More

4.66 (1743 reviews)

Udemy

platform

English

language

Data & Analytics

What you will learn

Create charts and visualizations that prove your advanced Tableau abilities.

Think creatively to solve complex business problems using Tableau.

Build a Viola Chart in Tableau.

Construct a Sankey Diagram in Tableau.

Develop advanced Hexbin Charts in Tableau.

Visualize Likert Scale survey data in Tableau.

Implement Hamburger Menu functionality in Tableau.

Charts

Students

Price

Rating & Reviews

Enrollment Distribution

Comidoc Review

Our Verdict

This advanced Tableau course focuses on unique visualization techniques, making it a valuable resource for those looking to enhance their skills. However, some portions of the content feel outdated resulting in discrepancies between taught material and current versions of Tableau. Additionally, certain sections are overly complicated due to steep learning curves related to specific features like containers or infrequently used concepts. Despite these issues, the course provides a strong foundation for advanced Tableau users who wish to explore innovative chart types while understanding the rationale behind them.

What We Liked

Covers advanced visualization techniques not commonly found in other courses, helping you stand out with unique chart types like Viola, Sankey, and Hexbin charts.
Instructor explains not just how to do something but why, giving good examples for common pitfalls which aids in understanding and retention.
Well-structured homework exercises provide hands-on practice that delivers a high level of understanding.
Tableau Public workbook provided as a resource for learners to refer back to.

Potential Drawbacks

Some content may feel outdated due to Tableau updating its features and functionalities in newer versions, leading to discrepancies with the taught material.
Concepts like data densification are not used very often in production, making them less applicable for real-world scenarios despite their advanced nature.
Poorly chosen example data does not reflect practical use cases, reducing the overall learning experience.
Hamburger menu implementation is overly complicated and difficult to master due to steep learning curve and hard-to-manipulate containers.