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Surgent's Power Query Series: Formulas, M Language, and Error Handling

Available Until Wednesday, Apr. 30, 2025

Surgent McCoy CPE, LLC

201 N. King of Prussia Rd. Ste. 370
Radnor, PA 19087

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1.00 Credits

Member Price $59.00

Non-Member Price $79.00

Overview

Even for experienced Excel users, there is a learning curve to using formulas in Power Query (Excel version). This course presents the fundamentals of this concept. In addition, this webinar introduces users to the “M” language in Power Query, as well as types of errors that users may encounter. Hands-on examples reinforce all of these concepts.

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 eleventh 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 the basics of creating formulas in Power Query
  • Be familiar with basic syntax of the “M” language in Power Query
  • Be familiar with types of errors in Power Query

Highlights

  • Learning formulas in Power Query
  • Introduction to the “M” language
  • Types of structured values in Power Query
  • Other types of values in Power Query
  • Types of errors in Power Query
  • Custom columns
  • Hands-on examples

Designed For

Excel users who want to develop data analytics skills

Prerequisites

None

Preparation

Save all data sets provided to a central location on your computer

Notice

You will receive an email from Surgent CPE with instructions to access this webinar.

Non-Member Price $79.00

Member Price $59.00