Build or enhance your data visualization and analysis toolkit by learning how to read and build over 35 different charts. You'll learn concepts that will unlock the mystery of what Tableau is going to draw as you drag and drop.
At the core of visualizing and analyzing data in Tableau Desktop is a thorough knowledge of choosing the right chart for the right job. 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, Tableau Desktop Playbook: Building Common Chart Types, you will build or enhance your data visualization toolkit by learning how to read, build, and format over 35 different charts while mastering foundational and advanced concepts along the way. First, you will learn how to present distributions and comparisons of data using bar charts. Next, you will see how to present data over time with line charts. Finally, you will discover how to unlock additional context with statistical, non-standard, and advanced charts. When you’re finished with this course, you will have the skills and knowledge of data visualization needed to build the right analysis for your data. Software required: Tableau Desktop.
Adam Crahen is the Head of Analytics Practices and Enablement for Pluralsight. He is a former Tableau Zen Master and the co-founder of thedataduo.com. Adam is a creative problem solver specializing in data curation, transformation and visualization.
Course Overview (Music) Hi everyone. My name is Adam Crahen, and welcome to my course, Tableau Desktop Playbook: Building Common Chart Types. I'm the head of Data Visualization Engineering here at Pluralsight. I am also a 2018 Tableau Zen Master and a cofounder of the 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, we are going to build or enhance your data visualization toolkit and equip you with the knowledge you need to be successful in the world of analytics. Some of the major topics we will cover include presenting distributions and comparisons of data using bar charts, presenting data over time with line charts, and learning how to unlock additional context with statistical, non-standard, and advanced charts. By the end of this course, you will know how to read, build, and format over 35 different charts. Along the way, you will learn foundational and advanced concepts that are essential when working with Tableau. These concepts will give you the knowledge to know what Tableau is going to draw on the canvas before you even drag and drop a pill, and it will empower you to be successful when communicating about data with your users. Before beginning the 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. Having a basic analytics acumen would be helpful, but if you are a beginner, you can still be successful with this course. I hope you'll join me on this journey to learn about data visualization with the Tableau Desktop Playbook: Building Common Chart Types course, at Pluralsight.