Alteryx is a data preparation and cleaning tool used mainly by data scientists to clean and prepare data. Its effectiveness lies in its user-friendly interface and variety of tools that can be used for data analysis. In this course, you’ll learn the fundamentals of Alteryx and work on preparing and deriving insights from your data.
You’ll begin by getting an introduction to Alteryx and learn how to get your data into Alteryx. You’ll learn how Alteryx cleans data in an efficient way, and how to use this to your advantage. You’ll use tools such as ‘union’ and ‘replace’ to combine and clean your data, ‘cross tab’ and ‘transpose’ to pivot your data, and a host of additional useful tools to learn the dynamics of Alteryx. You’ll also work on a case study to cement your knowledge of Alteryx.
By the end of this course, you’ll be a confident data scientist with the knowledge of Alteryx to clean and prepare your data in the best way possible.
The code bundle for this course is available at https://github.com/PacktPublishing/Alteryx-MasterClass---Let-s-Get-Star…
Get data into Alteryx
Clean and save your data
Prepare data using different tools in Alteryx
Combine data using the union tool
Use additional useful tools in Alteryx
Work on a case study in Alteryx