Surgent's Power Query Series: Use Cases

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Location: Online

1Credits

Technical Business

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Product Code: SU24-PQ10-SSWC

Level: Basic

Vendor: Surgent

Field of Study: Information Technology

Overview:

This course presents five use cases for specific data issues a user may encounter in Power Query (Excel version). Through hands-on examples, users are guided through the process of overcoming each of these issues. Power Query is an "ETL" tool that extracts, transforms, and loads data. This tool has a user-friendly interface that enables the Excel user to connect to data sets they previously did not have access to. It also enables powerful data transformations without requiring any coding and will save the Excel user time in performing their cleanup of data. This course is the tenth in a twelve-part series, Power Query: Beginning Data Analytics for the Excel User. The series is designed so the Excel user can learn the functionality of Power Query and the many benefits of this powerful tool. Each 1-hour webcast has hands-on examples to enable the Excel user to experience the active learning of Power Query.

Objectives:

Understand five specific data issues that may come up in the data cleaning process, and how to solve them

Major Topics:

Removing unwanted characters from a data set
All data appears in one column
Two categories appear in one column
Extracting useful information from inconsistent data (Text Analytics)
Have a sub-header that is in a row and should be in a column
Hands-on examples

Designed For:

Excel users who want to develop data analytics skills

Prerequisite:

None

Additional Info:

You will receive an email from [email protected] with instructions on how to log onto your course shortly. If you do not receive the email within the hour, please check your spam filter.

For technical support, registration questions or other customer service-related inquiries, please call (800) 778-7436 or email [email protected]. Phones are staffed from 8:30 a.m. to 5:00 p.m. Eastern Time, Monday through Thursday, and 8:30 a.m. to 4:00 p.m. Eastern Time on Friday.