Data Validation with Alteryx: Testing and Optimization Tools
Key Takeaways
Validates data with Alteryx using testing and optimization tools for workflow auditing and data integrity
Original Description
Tired of spending hours looking for that one pesky bug that keeps messing up your results? This hands-on Alteryx course teaches you to audit and validate you data input and workflows, to get confidence in you output.
You will learn to check input data files for potential errors, detect data loss when combining data streams, and maintain data integrity through joins and aggregations. The course also covers ways to output data into multiple Excel tabs and add custom messages to guide future users of your workflows.
By the end, you will be able to add steps to your workflows to minimise errors, ensure consistency and improve the user experience for your colleagues.
By taking on the role of somebody tasked with collecting survey results data, you will learn to validate data sources, join and test data streams, keep numeric fields consistent, write data to multi-tab Excel files and implement custom alerts for better workflow management.
Learners should already have an understanding of the basic functions in Alteryx such as inputting/outputting data, using joins/unions, and manipulating data with filters, select or formula tools.
Watch on External: Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
Related Reads
📰
📰
📰
📰
I built a Chrome extension that drag-and-drops YouTube videos into playlists using AI
Dev.to AI
"IA" não é só para quem escreve código
Dev.to AI
Claude Fable 5 is back, but I'm sticking with Opus 4.8 for daily work: 5 reasons why
ZDNet
AI Testing Tools Are Easy To Buy But Hard To Trust
Forbes Innovation
🎓
Tutor Explanation
DeepCamp AI