Learn to navigate answering spatial questions in Tableau. You'll learn mapping basics and concepts, how to customize map styles and layers, and how to use map services and extensions while building almost every type of map in Tableau.
At the core of visualizing and analyzing spatial data in Tableau Desktop is a thorough knowledge of choosing the right map 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, Mapping Spatial Data in Tableau Desktop, you will learn to navigate answering spatial questions in Tableau. First, you will learn mapping basics and concepts like when to use maps and understanding Tableau's geographic roles. Next, you will discover how to customize how maps appear through map styles, layers, and services. Finally, you will experience how to build almost every type of map that's possible in Tableau. When you’re finished with this course, you will have the skills and knowledge of working with maps in Tableau needed to answer any spatial question that you encounter. Software required: Tableau Desktop.
Adam Crahen is the Director of Analytics Practices and Enablement for Pluralsight and also a former Tableau Zen Master. Adam is a creative problem solver specializing in data curation, transformation and visualization with tools like Tableau, SQL, Snowflake, dbt, and Alteryx, etc. His work has been recognized by organizations like Kantar and has been featured by several news organizations around the world. He enjoys sharing his knowledge and passion for data by speaking at conferences, user groups and connecting with the data community.
Course Overview (Music playing) Hi everyone, my name is Adam Crahen, and welcome to my course, Mapping Spatial 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 the data visualization blog, thedataduo.com. Tableau is one of the world's most popular data visualization tools, and it's 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 analytics in order to be effective. In this course, you will learn how to navigate answering spatial questions and almost everything there is to know about maps in Tableau Desktop. Some of the major topics we will cover include mapping basics and concepts, like understanding Tableau's geographic roles, how to customize map appearances through map styles, layers, and services, and we will build almost every map type possible in Tableau. By the end of this course, you will know when to utilize a map in your analysis, how to choose the correct map for the job, and how to style your map to balance beauty and functionality. These concepts will give you the knowledge to navigate almost any spatial challenge you could tackle in Tableau. Before beginning the course, you should be familiar with Tableau Desktop's primary purpose and have a general knowledge of navigating through the tool and 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 Mapping Spatial Data in Tableau Desktop course at Pluralsight.