loader image

Microsoft Power Query

Overview

Microsoft Excel Power Query is a comprehensive course that provides participants with the essential skills and knowledge to efficiently extract, transform, and load data from various sources into Excel. Through this course, participants will learn how to leverage the power of Power Query to effortlessly import and combine data from different databases, files, and online sources. They will gain expertise in performing data transformations, such as filtering, sorting, and merging, as well as cleaning and shaping data for analysis. By the end of the course, participants will have the ability to streamline their data acquisition process, save time, and enhance data analysis and reporting capabilities using Microsoft Excel Power Query.

Course Objective

Upon Successful of this course, you will be able to:

  • Access data from different sources.
  • Clean & Transform Data.
  • Create Calculation.
  • Understand M Language.
  • Set Data Type.
  • Pivot and Unpivot column.
  • Set format for Date & Time.

Who Should Attend

End-users who use Microsoft Excel for data analysing and creating report.

Prerequisites

Participants that attend this training session must have knowledge of Microsoft Excel up to advanced level.

Analyzing Data with MS Excel

Training Calendar

Intake

Duration

Program Fees

Inquire further

1 Days

Contact us to find out more

Module

  • Different Data Sources
  • What is Power Query?
  • Power Query in Excel and Power BI
  • Basic Transformations
  • Base structures in Power Query
  • Query Editor in Details
  • Get Data from SQL Server
  • Get Data from CSV Files
  • Get Data from Excel
  • Get Data from JSON
  • Transformation Pane
  • Data Types in Power Query
  • Query Properties
  • Transformation Steps
  • Query Operations
  • Merge, joining queries
  • Append, Creating a big list
  • Combine Binaries; Looping through files in a folder
  • Column Operations
  • Row Operations
  • Filtering
  • Sorting
  • Add as New Query/Drill Down

FAQs

  • Q: What is Microsoft Power Query?

    • A: Power Query is a data transformation and preparation tool that’s integrated into Excel and Power BI. It allows you to import, clean, transform, and shape data from various sources, making it ready for analysis.

  • Q: What is this course about?

    • A: This course teaches you how to use Power Query to efficiently prepare data for analysis. You’ll learn how to connect to different data sources, perform data transformations, and automate data preparation tasks.

  • Q: Who is this course for?

    • A: This course is for anyone who works with data and needs to clean, transform, or combine it before analysis. This includes business analysts, data analysts, report developers, and anyone who spends time preparing data in Excel or Power BI.

  • Q: Do I need any prior experience to take this course?

    • A: Basic familiarity with spreadsheets (like Excel) is helpful, but no prior experience with Power Query or coding is generally required.

  • Q: What software do I need?

    • A: You will need Microsoft Excel (2010 or later, with the Power Query add-in for older versions) or access to Power BI Desktop. The specific version might be specified by the training provider.

  • Q: How is the course structured?

    • A: The course structure varies depending on the provider. It might consist of in-person workshops, live online sessions, self-paced online modules, or a combination. Check the course details.

  • Q: How long is the course?

    • A: The duration varies depending on the scope and format. It can range from a few days to several weeks. Check the course details.

  • Q: Will I receive a certificate upon completion?

    • Yes.

  • Q: What specific topics are covered in the course?

    • A: Typical topics include data import from various sources, data cleaning and transformation techniques (filtering, sorting, merging, splitting, pivoting, etc.), working with different data types, using the Power Query editor, M language (sometimes), query management, and loading data into Excel or Power BI. Check the syllabus for a detailed list.

  • Q: What is M language, and will I learn it in this course?

    • A: M is the formula language used in Power Query for more advanced data transformations. Some courses introduce M, while others focus primarily on the graphical user interface. Check the course description to see the level of M coverage.

  • Q: What kind of data sources can I connect to with Power Query?

    • A: Power Query can connect to a wide range of data sources, including Excel files, CSV files, text files, databases (SQL Server, Access, etc.), web pages, APIs, and online services.

  • Q: Will I learn how to automate data preparation tasks?

    • A: Yes, automating data preparation is a key benefit of Power Query, and the course will teach you how to create reusable queries and refresh data automatically.

  • Q: Will I work on real-world examples and projects?

    • A: A good Power Query course will include hands-on exercises and real-world case studies to reinforce learning and make the skills applicable to your work.

  • Q: What if I have trouble with the software or course materials?

    • A: PEOPLElogyprovide support through instructors, online forums, or technical assistance. Check with your training provider for their support policy.

  • Q: What if I miss a class? (For in-person or live online courses)

    • A: The policy for missed classes varies. Some providers may offer recordings or make-up sessions.

  • Q: What kind of computer do I need?

    • A: You’ll need a computer that can run Microsoft Excel or Power BI Desktop. Check the system requirements for your specific version.

  • Q: How much practice time is required outside of class?

    • A: Practice is essential for mastering Power Query. Plan to dedicate some time outside of class to work on exercises and build your own data transformation workflows.

  • Q: Will I be able to apply these skills in my job?

    • A: Absolutely! Power Query skills are highly valuable and applicable to a wide range of roles that involve working with and preparing data.

Submit your interest today !

Contact us