Tableau Advanced: Master Tableau in Data Science
Master Tableau in Data Science by solving Real-Life Analytics Problems. Learn Visualisation and Data Mining by doing!
4.62 (17785 reviews)
106 335
students
10 hours
content
Feb 2025
last update
$139.99
regular price
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
Create powerful storylines for presentation to Executives
Create powerful storylines for presentation to Executives
Understand Level Of Details
Implement Advanced Mapping Techniques
Course Gallery
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Comidoc Review
Our Verdict
A top-notch Tableau advanced course for data science enthusiasts looking to enhance their skillset. While there's room for improvement in terms of hands-on exercises and dataset updates, the expert teaching style and exhaustive list of advanced topics make this a valuable resource for anyone seeking mastery in the field. Just be prepared to do some additional legwork in sourcing up-to-date data when needed.
What We Liked
- Comprehensive coverage of advanced Tableau techniques for data science
- Instructor's expertise in Tableau shines through with practical examples and hacks
- Well-structured course, engaging lessons, and clear explanations
- Helped in transitioning from Power BI to Tableau with its real-life analytics problem-solving approach
Potential Drawbacks
- Course could benefit from more hands-on exercises and scenario analysis
- Occasional playback issues, like no sound or technical impediments during video lessons
- Pacing is erratic at times with long explanations followed by rapid-fire demos
- Datasets and some course content are slightly outdated, requiring self-provision of updated data
Related Topics
946194
udemy ID
31/08/2016
course created date
01/11/2019
course indexed date
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