TABLEAU 2018 ADVANCED: Master Tableau in Data Science

Master Tableau in Data Science by solving Real-Life Analytics Problems. Learn Visualisation and Data Mining by doing!

4.58 (1202 reviews)

Udemy

platform

English

language

Data & Analytics

What you will learn

Create and use Groups

Understand the difference between Groups and Sets

Create and use Static Sets

Create and use Dynamic Sets

Combine Sets into more Sets

Use Sets as filters

Create Sets via Formulas

Control Sets with Parameters

Control Reference Lines with Parameters

Use multiple fields in the colour property

Create highly interactive Dashboards

Develop an intrinsic understanding of how table calculations work

Use Quick Table calculations

Write your own Table calculations

Combine multiple layers of Table Calculations

Use Table Calculations as filters

Use trendlines to interrogate data

Perform Data Mining in Tableau

Implement Advanced Mapping Techniques

Understand Level Of Details

Course Gallery

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Charts

Students

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Rating & Reviews

Enrollment Distribution

Comidoc Review

Our Verdict

This advanced Tableau course offers in-depth training on a wide array of features. While some repetition, vague instructions, and limited hands-on exercises might dampen the learning experience for some students, those willing to persevere will benefit from the practical problem-solving approach and wealth of information provided. Excelling particularly in the coal mining dataset example, this course can help users enhance their existing Tableau knowledge.

What We Liked

Comprehensive coverage of advanced Tableau features such as groups, sets, table calculations, and data mining
Real-life analytics problems provide practical context for learning
Well-structured course with high-quality content and resources
Coal mining dataset is excellent for understanding and applying table calculations

Potential Drawbacks

Repetitive explanations and convoluted instructions can hinder the learning experience
Incomplete or vague verbal instructions often make it difficult to follow tutorials
Minimal hands-on practical exercises for students to apply their knowledge actively
Some lessons may seem outdated, causing compatibility issues with new features and versions