This is the code repository for Learning Tableau 10.x [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.

Microsoft Excel is a straightforward way of storing data, but creating visualizations is at times fairly tedious for an analyst. With Tableau, you can save time when analyzing Excel data and create great data visualizations that present data in a way that even non-analysts can understand, which in turn helps businesses to make informed decisions.

In this course, you’ll be introduced to Tableau and understand the different versions of the software including Tableau Desktop, Tableau Desktop Professional, Tableau Public, Tableau Online, and Tableau Server. The course contains session material that covers both fundamental and advanced concepts to create worksheets, dashboards, and stories in Tableau.

You’ll get a solid understanding of the user interface and all the powerful functions available in Tableau. Furthermore, you’ll learn about other topics such as table calculations, parameters, filters, user-defined calculations, (variables). Next, you’ll see how to use dashboard actions to create interactivity between dashboard components and how to “drill-down” into more dashboards containing additional detail for specific data elements.

By the end of the course, you’ll be adept with the knowledge to create great visualizations with Tableau for your day-to-day business needs.

To fully benefit from the coverage included in this course, you will need:
This video course is for professionals who no knowledge of Tableau. It's for people who want to build rich analytics and visualizations, using Tableau.

This course has the following software requirements:
Students will require the computer systems with at least the following:

· OS: Microsoft Windows 7 or newer (64-bit)

· Processor: Intel Pentium 4 or AMD Opteron processor or newer

· Memory: 2 GB memory

· Storage: 1.5 GB minimum free disk space

· Screen Resolution: 1366 x 768 screen resolution or higher

Recommended Hardware Requirements

For an optimal experience with hands-on labs and other practical activities, we recommend the following configuration:

· OS: Microsoft Windows 7 SP2 or newer (64-bit)

· Processor: Intel Core i3/i5 or AMD Athlon processor or newer

· Memory: 8GB memory (to cope with large datasets and complex workbooks)

· Storage: Solid-state drive (SSD) disk, with 5 GB minimum free disk space

· Screen Resolution: 1366 x 768 screen resolution or higher Browser Requirements

· Chrome on Windows, Mac, and Android 4.4 or later

· Microsoft Edge & Internet Explorer 11 on Windows

· Mozilla Firefox & Firefox ESR on Windows and Mac

· Apple Safari on Mac and iOS 8.x or later

● Processor: Dual Core 3.0 Ghz

● Memory: 4GB

● Hard Disk Space: 200MB

● Video Card: 256MB Video Memory

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