Microsoft Excel - Power Query Course Overview

Microsoft Excel - Power Query Course Overview

The Microsoft Excel - Power Query course is designed to equip learners with comprehensive skills in data manipulation and automation using Power Query. The course begins with Module 1: What is Power Query?, introducing the tool and its capabilities, guiding learners through navigation and understanding the importance of Applied Steps in the Query Settings.

As learners progress to Module 2: Extract Data, they'll learn to extract data from a variety of sources, including Excel tables, external workbooks, databases, the web, and even multiple files from folders. This sets the stage for more advanced techniques.

In Module 3: Transform Columns & Add Columns, and Module 4: Clean Data, students will master grouping, aggregating, and calculating data, as well as cleaning data by changing text to columns, removing unwanted data, coping with formatting issues, and unpivoting data.

Module 5: Merge & Append focuses on combining data sets effectively, whether from different workbooks or diverse sources. Finally, Module 6: Automate Queries teaches learners to automate their queries, create simple functions, and build dynamic dashboards/reports from Power Query data.

This course is a powerful asset for anyone looking to enhance their data analysis skills, allowing for efficient data transformation and preparation directly within Excel. It empowers learners to handle complex data tasks and streamline their workflow, making it an invaluable resource for professionals in various fields.

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  • Live Online Training (Duration : 8 Hours)
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Classroom Training price is on request

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Course Prerequisites

To ensure a successful learning experience in the Microsoft Excel - Power Query course, participants should possess the following minimum prerequisites:


  • Basic understanding of Microsoft Excel, including familiarity with the Excel interface, creating workbooks, and using basic formulas and functions.
  • Ability to perform simple data manipulations in Excel such as sorting, filtering, and basic calculations.
  • Comfort with using a computer, managing files and folders, and navigating the Windows operating system.
  • An eagerness to learn and explore new tools within Excel for enhancing data analysis capabilities.

Please note that while prior experience with Power Query is not required, a foundational knowledge of Excel will help you grasp the concepts more efficiently.


Target Audience for Microsoft Excel - Power Query

Koenig Solutions' Microsoft Excel - Power Query course empowers users to extract, transform, and automate data for advanced analytics and reporting.


  • Data Analysts and Scientists
  • Business Intelligence Professionals
  • Financial Analysts and Accountants
  • Marketing Analysts
  • Supply Chain Analysts
  • HR Analysts
  • Reporting Specialists
  • IT Professionals working with data
  • Project Managers requiring data manipulation
  • Excel Power Users seeking to upgrade their skills
  • Consultants who analyze and visualize data
  • Researchers compiling and cleaning data sets
  • Administrative personnel who manage data regularly


Learning Objectives - What you will Learn in this Microsoft Excel - Power Query?

Introduction to Learning Outcomes:

This Microsoft Excel - Power Query course equips participants with essential skills to import, cleanse, transform, and automate the preparation of data efficiently using Power Query.

Learning Objectives and Outcomes:

  • Understand the fundamental concepts and capabilities of Power Query in Excel.
  • Navigate the Power Query interface and comprehend the significance of Applied Steps in Query Settings.
  • Extract data from various sources including Excel tables, external workbooks, databases, web pages, and other miscellaneous sources.
  • Implement data transformation techniques such as grouping, aggregating, and creating calculated columns using text functions.
  • Perform data cleaning operations like splitting text into columns, removing redundant data, and addressing formatting issues.
  • Master unpivoting of data and replacing errors or specific values within columns to tidy datasets.
  • Learn to merge and append data from different Excel workbooks and various external data sources effectively.
  • Automate queries within Power Query to streamline repetitive tasks and improve productivity.
  • Develop an understanding of how to create basic functions in Power Query to enhance data manipulation capabilities.
  • Create dynamic dashboards and reports from data prepared in Power Query, enabling better data-driven decision-making.