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UiPath Associate Certification Guide

You're reading from   UiPath Associate Certification Guide The go-to guide to passing the Associate certification exam with the help of mock tests and quizzes

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Product type Paperback
Published in Jun 2022
Publisher Packt
ISBN-13 9781801072731
Length 558 pages
Edition 1st Edition
Tools
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Authors (3):
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Niyaz Ahmed Niyaz Ahmed
Author Profile Icon Niyaz Ahmed
Niyaz Ahmed
Lahiru Fernando Lahiru Fernando
Author Profile Icon Lahiru Fernando
Lahiru Fernando
Rajaneesh Balakrishnan Rajaneesh Balakrishnan
Author Profile Icon Rajaneesh Balakrishnan
Rajaneesh Balakrishnan
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Table of Contents (24) Chapters Close

Preface 1. Part 1: Importance of RPA
2. Chapter 1: The Automation Journey and Identifying Suitable Business Processes FREE CHAPTER 3. Chapter 2: UiPath Ecosystem 4. Chapter 3: Introducing UiPath Orchestrator 5. Chapter 4: Create, Deploy, and Execute RPA Process on the UiPath Ecosystem 6. Part 2: UiPath Studio
7. Chapter 5: Learning about Variables and Arguments 8. Chapter 6: Understanding Different Control Flows 9. Chapter 7: Manipulating Data Using UiPath 10. Chapter 8: Exploring UiPath Selectors 11. Chapter 9: Learning the Uses of Data Tables and Exploring Excel Automation 12. Chapter 10: Exploring User Interfaces and User/Robot Interactions 13. Chapter 11: Automating PDF Data Extraction 14. Chapter 12: Exploring UiPath Email Automation 15. Part 3: Use Case and Exam Preparation
16. Chapter 13: Debugging 17. Chapter 14: Invoice Processing – Dispatcher 18. Chapter 15: Invoice Processing – Performer 19. Chapter 16: How to Prepare and What to Expect 20. Chapter 17: Mock Exam 1
21. Chapter 18: Mock Exam 2
22. Other Books You May Enjoy Appendix

Explaining the concept of data manipulation

Data manipulation is a process that alters data through various operations to convert it into a usable format. It is a vital function for business operations and management as it provides many benefits, such as the following:

  • Converts data into a more consistent format to improve reliability, readability, and organization
  • Enables customization and generation of more meaningful data according to business requirements
  • Removes unwanted data to ensure only the required information is processed

Data manipulation operations consist of four primary functions, as outlined here:

  • Extracting data by specifying extraction conditions such as filtering, summarizing, and so on
  • Adding new data
  • Removing unwanted data
  • Changing existing data by updating new values or converting unstructured data into a more meaningful and process-friendly format

There are many different methods of manipulating data, depending...

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