Code for Tableau Tips, Tricks, and Techniques, Published by Packt
This is the code repository for Tableau Tips, Tricks, and Techniques [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
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.
All supporting files for this course are available at https://github.com/PacktPublishing/Tableau-Tips-Tricks-and-Techniques
- 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
To fully benefit from the coverage included in this course, you will need:
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.
This course has the following software requirements:
Minimum Hardware Requirements For successful completion of this course, students will require the computer systems with at least the following:
OS: Windows 7 or higher / Mac OS X 10.7 or higher Processor: 2 Core Memory: 8GB Storage: 15 GB
Recommended Hardware Requirements For an optimal experience with hands-on labs and other practical activities, we recommend the following configuration:
OS: Windows 7 or higher / Mac OS X 10.7 or higher Processor: 2 Core Memory: 8GB Storage: 15 GB
Software Requirements Operating system: Browser: Atom IDE, Latest Version Node.js LTS 8.9.1 Installed Tableau 2018.3