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Tableau Tips, Tricks, and Techniques
Rating: 4.5 out of 5(15 ratings)
80 students

Tableau Tips, Tricks, and Techniques

Be more productive and efficient by mastering the best practices in Tableau 2019
Last updated 4/2019
English

What you'll learn

  • Discover tips and tricks to boost your productivity while using Tableau
  • Get familiar with the changes in the Tableau user interface
  • Master useful keyboard shortcuts that will improve how you use Tableau and enhance your productivity
  • Improve your quality of life and, without directly improving your productivity, greatly improve your personal user experience with Tableau
  • Some best practices and conventions to be followed when working with Tableau

Course content

7 sections30 lectures2h 10m total length
  • The Course Overview5:04

    This video gives overview of the entire course.

  • Exploring Discrete versus Continuous; Dimensions versus Measures – Part 13:18

    What are dimensions and measures?

       •  Are dimensions always blue and measures always green?

       •  Example of why you can have blue measures and green dimensions

       •  Introducing to discrete versus continuous

  • Exploring Discrete versus Continuous; Dimensions versus Measures – Part 24:38

    What does ‘Discrete’ and ‘Continuous’ mean?

       •  Compare continuous and discrete fields on color

       •  Compare discrete dates and continuous dates

       •  Compare discrete and continuous fields in the context of highlight tables

  • Combined Axis versus Dual Axis Charts4:12

    Introduction to two common chart types, combined axis and dual axis charts.

       •  What’s the default behavior when you create a combined axis chart?

       •  Explain measure names and measure values

       •  Difference between a dual axis and combined axis

Requirements

  • Basic knowledge of Tableau

Description

Tableau is one of the most popular data visualization tools used by data science and BI professionals. Data visualization is of the utmost importance in the modern business world where data is increasingly used for decision making. Tableau 2019 is a powerful, fast–growing, and self-service business intelligence and data visualization tool. Data analysis is faster in Tableau and no coding language is required to work with it.
In this course, you will discover best practices that you didn’t even know existed, and with which you can increase your efficiency and productivity while using Tableau for your daily tasks. Each section covers exciting tips, tricks, and techniques for efficient data visualizations in Tableau 2019 that you can apply in real-world scenarios to help your work get easier and help you become more efficient in your projects. You will learn how to make your visualizations look more visually appealing by adding customizations. You will also cover the new features introduced in Tableau 2019 and how it simplifies the way you use Tableau for your data science and BI requirements.
By the end of the course, you will be able to use Tableau 2019 in a highly efficient manner, having mastered its best practices.

About the Author

Ana Yin is an experienced Tableau Certified Trainer and Senior Consultant at Tridant Pty Ltd, based in Sydney, Australia. Starting out as a student of Architecture before swapping this for a Business degree, her passion for the Arts (backed up by a strong business acumen) makes her the “go-to” for clients who need expert advice on how to leverage data for effective storytelling and decision making. 80% of the time, she is involved in dashboard development for clients, setting design principles and best practice. As for the other 20%, she conducts Tableau Classroom Training across the Asia Pacific region. Outside work, she has always been an avid traveler, language buff, and a lover of good food.

Who this course is for:

  • This course is for data scientists, data analysts, business analysts, businessmen, and Tableau developers who are working with data visualization and Tableau and now want to improve their skills to become better and efficient in the field. Those who simply want to update their skillset to incorporate Tableau's new features will also benefit from the course.