This is the code repository for Hands-On Visual Analysis with 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.
Tableau has brought the world of visual analytics within reach to many who have been stuck with Excel charts and graphs. But there is a surprising learning curve that gets in the way of using Tableau to its full potential and this course will make you understand how visual and cognitive science makes data visualization so satisfying. This course will give you the tools to use Tableau to its fullest and build great visualizations.
In this course, you will begin by understanding a business case about developing data visualization with Tableau. Next you will learn about the complex ways of connecting your data. Moving ahead you will explore how to express your data from the standard bar charts to more cutting-edge visuals and make data interactive using sets, filters ,groups and hierarchies. Next you will understand how advanced calculation techniques help improve visual analysis. You will also learn about Tableau’s powerful tools like spatial analysis to create maps that are embedded with your data. Lastly you will learn how will you put all of your work together into dashboards.
By the end of this course you will have a tons of confidence that you can use to build useful, thoughtful, and beautiful visualizations using your complex business data.
- Improve decision-making using visual analytics.
- Connect to a single data source and multiple data sources that are linked
- Implement calculations in a variety of ways to get insights from your data.
- Develop spatial visualizations
- Use parameters to help your audience visualize data
- Build dashboards that have actions and filters.
- Create the best visualizations by learning important tips, tricks, and timesavers
To fully benefit from the coverage included in this course, you will need:
This course is for analysts who are familiar with fundamental data visualization knowledge and have been using tools like Excel for calculations and other tasks. Now they want to learn Tableau to efficiently achieve their visualization tasks. No knowledge of Tableau is needed.
This course has the following software requirements:
For successful completion of this course, students will require the computer systems with at least the following:
· OS: Windows 7 or newer
· Processor: Intel Pentium 4 or AMD Opteron processor or newer
· Memory: 2GB
· Storage: 1.5 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 newer (64 bit)
· Processor: Intel Pentium 4 or AMD Opteron processor or newer
· Memory: 2 GB
· Storage: 1.5 GB
Software Requirements
Tableau 10.5
Chrome on Windows or Mac
· 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