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Advanced Data Manipulation with Studio (v2021.10)

As an RPA developer, you will learn how to use the more advanced data manipulation techniques: DateTime variables and the Select Method.
Difficulty level
Difficulty level
Advanced
Content language
Content language
English
Product covered
Product covered
Studio
Completion time
Completion time
1 hour
About the Advanced Data Manipulation with Studio course 

In this course, we'll cover some more advanced data manipulation techniques in UiPath Studio. More specifically, we'll perform a wide range of data manipulation operations using the DateTime variables. What’s more, we’ll use the Select Method to filter DataTables and output the result to a different DataTable.  

Product alignment: This course was built using the 2021.10 product version of UiPath Studio and is applicable to newer versions as well. 

The Advanced Data Manipulation with Studio course prerequisites 

Before starting on this course, you should have basic programming knowledge and have completed, at a minimum, these previous courses: 

  • Meet the UiPath Platform. 

  • Variables and Arguments in Studio. 

  • Control Flow in Studio. 

  • DataTables and Excel Automation with Studio. 

  • Data Manipulation with Strings in Studio. 

  • Data Manipulation with Lists and Dictionaries in Studio. 

The Advanced Data Manipulation with Studio course audience 

Any RPA Developer interested in knowing about Data Manipulation using DataTime variables and how to use Select Method to filter DataTables. 

The Advanced Data Manipulation with Studio course agenda 

Through this course, you will learn about the features of data manipulation by covering topics such as:   

  • DateTime 

  • The Select Method 

  • Practice 1 - Calculate a DateTime Difference 

  • Practice 2 - Filter Employees Data Using the Select Method 

The Advanced Data Manipulation with Studio course learning objectives 

At the end of the course, you should be able to:  

  • Use specific methods to perform data manipulation operations using DateTime variables. 

  • Use the Select method to filter DataTables.

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