Alteryx Masterclass - Let's Get Started

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.

What You Will Learn

• 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

Audience

This course is for aspiring data analysts who are looking for a successful career in data analytics and want to further their knowledge beyond Tableau and PowerBI.

About The Author

Dan We: Daniel Weikert is a 33-year-old entrepreneur, data enthusiast, consultant, and trainer. He is a master’s degree holder certified in Power BI, Tableau, Alteryx (Core and Advanced), and KNIME (L1–L3).

He is currently working in the business intelligence field and helps companies and individuals obtain vital insights from their data to deliver long-term strategic growth and outpace their competitors.

He has a passion for learning and teaching. He is committed to supporting other people by offering them educational services and helping them accomplish their goals, gain expertise in their profession, or explore new careers.