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Data validation and processing in Studio Web

In this course, you'll learn how to turn your data validation and processing tasks into streamlined automation projects using Studio Web.
Difficulty level
Difficulty level
Beginner
Content language
Content language
English
Product covered
Product covered
Studio Web
Completion time
Completion time
1 hour 30 minutes
About the Data validation and processing in Studio Web training

You will explore the fundamentals of data validation and data processing, and their significance in automation workflows. You’ll learn why data validation is crucial in ensuring that input data meets specific criteria before processing, and how to set up effective error handling methods, such as logging errors and sending notification emails, to manage validation failures.

Additionally, the course covers the role of data processing in automation, its integration into real-world use cases, and how to automate data processing tasks into web forms using UI automation techniques. You’ll also gain practical experience in troubleshooting common issues that occur during automation.

It is a course aimed at beginners and takes one hour thirty minutes to complete. At the end, you will receive a diploma of completion.

Learning Prerequisites

Before taking this course, you should complete the following course:

  • Repetitive and rule-based tasks in Studio Web

Audience

This course is perfect for a wide range of users, from beginners with little to no coding experience to experienced professionals, business users, and citizen developers.

Learning objectives

At the end of this course learners should be able to:

  • Explain what data validation is and why it is crucial in ensuring that input data meets specific criteria before it is processed.

  • Set up error handling methods, such as logging errors and sending notification emails, to address cases where data fails validation.

  • Explain what data processing is, its significance in automation workflows, and how it integrates into real-world use cases.

  • Automate data processing into web forms using UI automation techniques and troubleshoot common issues that arise during automation.

Agenda
  • Data validation in Studio Web

  • Data processing in Studio Web

  • Practice - Vendor onboarding

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