Learn how to organize, explore & transform your data before visualizing anything. You'll learn concepts that will help you correct errors, change the way you present data and learn how the order of operations comes into play while you drag & drop.
At the core of visualizing and analyzing data in Tableau Desktop is a thorough knowledge of data and Tableau's Order of Operations. Tableau helps people see and understand their data, but you need to know the why and the how in order to be effective. In this course, Manipulating Data in Tableau Desktop, you will learn techniques for transforming your data before you visualize anything. First, you will learn how to organize your data in the data pane. Next, you will learn techniques for exploring your data set. Finally, you will discover how to transform your data to correct errors and understand how the order of operations can impact your analysis. When you’re finished with this course, you will have the skills and knowledge of manipulating your data to build the right analysis for the job. Software required: Tableau Desktop.
Adam Crahen is the Head of Data Visualization Engineering for Pluralsight, a 2018 Tableau Zen Master and the co-founder of thedataduo.com. Adam is a creative problem solver specializing in data curation, transformation, and visualization. His work has been recognized by organizations like Kantar and has been featured by several news organizations around the world.
Course Overview Hi everyone, my name is Adam Crahen, and welcome to my course, Manipulating Data in Tableau Desktop. I am the head of data visualization engineering here at Pluralsight, and I'm also a 2018 Tableau Zen Master and the cofounder of a data visualization blog, thedataduo.com. Tableau is one of the world's most popular data visualization tools and is consistently ranked as a leader in Gartner's Magic Quadrant for BI and Analytics Platforms. Tableau helps people see and understand their data, but you need to know the why and the how behind data and analytics in order to be effective. In this course, you will learn how to transform your data before you drag and drop. Some of the major topics we will cover include organizing your data in the data pane, learning techniques for exploring your dataset, and taking a deep dive on Tableau's order of operations. By the end of this course, you will have all the skills and knowledge of manipulating your data to build the right analysis for the job. Before beginning this course, you should be familiar with Tableau Desktop's primary purpose, have a general knowledge of navigating through the tool, and know how to connect to your data. From here, you should feel comfortable diving into Tableau with courses on building common chart types, using calculated fields, and data visualization best practices. I hope you'll join me on this journey to learn about data visualization with the Manipulating data in Tableau Desktop course, at Pluralsight.