What you'll learn

Manual data preparation consumes countless hours of valuable time for IT professionals, who often find themselves trapped in repetitive Excel workflows, struggling with complex formulas, and manually reshaping data for analysis. Time-consuming tasks like creating calculated fields, pivoting data, and building summary reports slow down decision-making and limit analytical capabilities across organizations.

In this course, Data Transformation in Alteryx, you'll gain the ability to create automated, repeatable data transformation workflows that eliminate manual data preparation and accelerate analytical insights.

First, you'll explore calculated field creation using formula tools and learn how to build dynamic expressions, apply mathematical and string functions, implement conditional logic, and troubleshoot complex formulas for robust data transformations.

Next, you'll discover data reshaping techniques with pivoting tools and master how to convert between wide and tall data formats using the transpose and cross tab tools, while managing data quality issues to ensure clean, reliable transformations.

Finally, you'll learn how to perform advanced transformations and analytical reporting, including row-level calculations with multi-row formula tools, building running totals and cumulative metrics, and creating comprehensive summaries with statistical analysis for downstream tool integration.

When you're finished with this course, you'll have the skills and knowledge of data transformation workflows in Alteryx needed to automate complex data preparation tasks, eliminate manual processes, and deliver clean, analysis-ready datasets efficiently.