Get to know how you can collect, prepare and transform your data in Tableau. Learn how you can effectively use Tableau's fast analytic processing capabilities to perform tasks like joins, blend and unions.
At the core of Tableau is its fast analytics capabilities that allows you to connect to and analyze almost any database. In this course, Collecting and Preparing Data for Tableau Desktop, you will learn foundational knowledge of collecting, preparing and transforming your data. First you will learn, connecting to different types of files and servers. Next you will discover how you can union and join your data to create cohesive datasets. Finally, you will learn the differences between using live connections and data extracts. When you’re finished with this course, you will have the skills and knowledge needed to collect, prepare and transform your data in order to successfully perform analysis.
Course Overview Hi everyone, my name is Pooja Gandhi, and welcome to my course, Collecting and Preparing Data for Tableau Desktop. I'm a Lead Analytics Engineer at Pluralsight, two-time Tableau Zen Master, and cofounder of a popular data visualization blog, thedataduo.com. Tableau's fast analytic capabilities allows you to connect to and analyze almost any database to help you get actionable insights. Tableau's simple yet effective drag and drop functionality empowers people's natural abilities to identify visual patterns quickly and effectively. This course is designed to help you understand how you can collect, prepare, and transform your data in Tableau. Some of the major topics that we will cover include connecting your data to Tableau Desktop, discovering how you can union and join your data to effectively perform analysis, understanding the differences between a live connection and data extract in order to get the most out of Tableau's powerful analytic capabilities, and finally, we will dive into understanding use cases for blending your data. By the end of this course, you will know how to collect, prepare, and transform your data in order to successfully perform analysis. Before beginning the course, I recommend being familiar with Tableau Desktop's primary purpose and the general use of the interface. Having basic analytics acumen will help, but is not required to be successful with this course. From here, continue your learning by diving into Tableau with courses on using calculated fields, building common chart types, and data visualization best practices. I hope you will join me on this journey to learn how to effectively collect, prepare, and transform your data with the Collecting and Preparing Data in Tableau Desktop course, at Pluralsight.