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
category
instructor
TABLEAU 2018 ADVANCED: Master Tableau in Data Science
7 184
students
9.5 hours
content
Jan 2025
last update
$124.99
regular price

Why take this course?

🚀 Tableau 2018 ADVANCED: Master Tableau in Data Science 📊


Course Headline:

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


Are you ready to elevate your data storytelling to new heights? 🤔💫 Tableau 2018 ADVANCED is meticulously crafted for professionals who aspire to master the art of visual analytics and data mining with Tableau. This course goes beyond the basics, diving deep into advanced techniques that will transform the way you approach complex datasets and real-world analytical challenges.

Course Description:

  • 🧪 Learn Advanced Techniques: Unleash the full potential of Groups, Sets, and Table Calculations to streamline your data analysis process.

  • 🔍 Perform Analytics & Data Mining: Develop a keen analytical eye by exploring powerful data mining techniques within Tableau.

  • Create Dynamic Animations: Bring your visualizations to life with captivating animations that will mesmerize and engage your audience.

  • 🚀 Solve Real-World Problems: Engage with scenarios that mimic real business challenges, giving you the experience to tackle any data hurdle that comes your way.

  • Data Analysts looking to refine their skills and stand out in the workplace.

  • Business Intelligence Professionals who want to push the boundaries of their visualizations.

  • Aspiring Data Scientists aiming to enhance their predictive analytics capabilities.

  • Independent Modules: Jump into learning at your own pace. Each module is self-contained, allowing you to start where it's most convenient for you.

  • Rich Learning Experience: Combining video tutorials with hands-on exercises and real datasets ensures a comprehensive understanding of Tableau's advanced features.

  • Skill Mastery: Stop at any point you feel comfortable, and still carry away an impressive set of skills that will serve you in your data science endeavors.


Don't just take our word for it – join the ranks of professionals who have elevated their data analysis skills to new heights. With "Tableau 2018 ADVANCED," you'll not only learn but also apply advanced concepts in a practical, real-world context. Are you ready to become a Tableau maestro? Let's get started! 🌟


Instructor: Kirill Eremenko – A data science expert and seasoned instructor with a passion for making complex topics accessible and engaging.

Course Gallery

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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
1789170
udemy ID
09/07/2018
course created date
21/11/2019
course indexed date
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