Tableau Tips, Tricks, and Techniques

Tableau Tips, Tricks, and Techniques, available at $34.99, has an average rating of 4.35, with 30 lectures, based on 14 reviews, and has 77 subscribers.

You will learn about 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 This course is ideal for individuals who are 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. It is particularly useful 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.

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Summary

Title: Tableau Tips, Tricks, and Techniques

Price: $34.99

Average Rating: 4.35

Number of Lectures: 30

Number of Published Lectures: 30

Number of Curriculum Items: 30

Number of Published Curriculum Objects: 30

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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.

Target Audiences

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.

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.

Course Curriculum

Chapter 1: Introduction to Tableau Foundations

Lecture 1: The Course Overview

Lecture 2: Exploring Discrete versus Continuous; Dimensions versus Measures – Part 1

Lecture 3: Exploring Discrete versus Continuous; Dimensions versus Measures – Part 2

Lecture 4: Combined Axis versus Dual Axis Charts

Chapter 2: Tips for Visualizing KPIs

Lecture 1: Display of Two Conditions with Up and Down Arrows

Lecture 2: Highlight Problem Areas and Opportunity Using Traffic Lights

Lecture 3: Tips for Visualizing Actual Performance Against Prior Period or Target – Part 1

Lecture 4: Tips for Visualising Actual Performance Against Prior Period or Target – Part 2

Lecture 5: Formatting Tips and Tricks

Chapter 3: Tricks on Visualizing Breakdowns of a Whole

Lecture 1: Effective Charts for Part to Whole Analysis â€“ Treemaps and Gradient Treemaps

Lecture 2: How to Creating Donut Charts

Lecture 3: Tips on Customizing Donut Charts

Lecture 4: Tips on Enhancing the Standard Bar Chart

Chapter 4: Tips on Working with Customer and Survey Data

Lecture 1: Customer Cohort Analysis with Irregular Bin Size

Lecture 2: How to Create a Likert Scale Chart for Sentiment Analysis – Part 1

Lecture 3: How to Create a Likert Scale Chart for Sentiment Analysis – Part 2

Lecture 4: Basic Statistical Analysis with Survey Data

Chapter 5: Visualizing a Defined Subset of Your Data

Lecture 1: Create Groups and Sets to Define a Subset of Your Data

Lecture 2: Fix Nested Sorts with Rank

Lecture 3: Additional Techniques – Top N and Show Unique

Lecture 4: Additional Techniques – Top N and Show Unique with Rank Displayed

Chapter 6: New Features in Tableau 2019.1

Lecture 1: Demo of Set Actions

Lecture 2: Dashboard Navigation with New Dashboard Buttons

Lecture 3: Demo of Improvements to Nested Sorts and Automatic Phone Layout

Chapter 7: Dashboard Tips and Tricks

Lecture 1: Use Parameters for Sheet Swapping – Simple Example

Lecture 2: Use Parameters for Sheet Swapping – Complex Example

Lecture 3: Advanced Dashboard Technique – Using Dummy Worksheets

Lecture 4: Advanced Dashboard Technique – Excluding Values from Filters

Lecture 5: How to Work with Pre-aggregated Data – Part 1

Lecture 6: How to Work with Pre-Aggregated Data – Part 2

Instructors

Packt Publishing
Tech Knowledge in Motion

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4 stars: 5 votes
5 stars: 7 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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