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Power Query Bootcamp

Learn to clean, organize, and reshape data quickly with Power Query, a powerful tool built into Excel and Power BI. This hands-on course will teach you how to streamline your data preparation process for analysis and reporting.

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  • Self-paced, start anytime
  • 6 clock hours

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Class Description

Description

This course teaches students how to prepare and manage data using Power Query through a structured, step-by-step approach. Participants will learn to apply data transformations, reorganize datasets with pivoting and reshaping tools, and combine information from multiple files and tables.

The course also emphasizes building summarized views with grouping and conditional logic, creating new columns from examples, and maintaining organized queries through duplication, applied steps, dependencies, and data refresh processes.

What You Will Learn

  • Navigate the Power Query interface, understand the data analysis process, and work with Power Query options, applied steps, and refresh behavior.
  • Clean and transform data by filtering rows, removing and reordering columns, changing data types, splitting and merging columns, and applying text cleanup techniques.
  • Create structured transformations using grouping, conditional columns, date and duration calculations, and columns generated from examples.
  • Reshape datasets using Pivot, Unpivot, Transpose, and split-to-rows techniques to support analysis and reporting.
  • Combine data from multiple sources by appending tables, worksheets, and CSV files, and merging data using inner and anti joins.
  • Organize and manage queries by duplicating and referencing queries, handling errors and values, removing duplicates and blank rows, and working with query dependencies.

Course Outline

Getting Started with Power Query

  • The Data Analysis Process
  • What Is Power Query?
  • The Power Query Interface
  • Power Query Options & Settings
  • One – Extracting
  • Two – Transforming
  • Three – Loading
  • Four – Refreshing
  • Benefits of Power Query

Transpose, Pivot, and Un-Pivot

  • Transformations Overview
  • Introduction to Transforming Data
  • Removing Rows by Filtering Data
  • Removing, Renaming & Reordering Columns
  • Loading Your Transformations
  • Applied Steps
  • Saving Transformations
  • Data Type Transformations

Combining Data from Two or More Data Sets

  • Relationships
  • Appending Two Tables
  • Appending Multiple Tables
  • Query Organization
  • Appending Multiple CSVs
  • Appending Data with Different Column Headers
  • Merging Tables
  • Merging via Composite Columns
  • Inner Joins
  • Right & Left Anti Joins
  • Appending Multiple Worksheets

Duplicating and Parameters

  • Duplicate & Reference Queries
  • Remove Duplicates
  • Deleting Queries
  • Replacing Errors & Values
  • Removing Top/Bottom Rows
  • Using First Row as Headers
  • Removing Blank Rows

Steps, Groups and Dependencies

  • Transformation Steps Level 1
  • Splitting Columns
  • Merging Columns
  • Trim, Clean, and Changing Case
  • Transformation Steps Level 2
  • Filling Down
  • Sorting
  • Extracting
  • Math Calculations
  • Unpivot
  • Pivot
  • Transpose
  • Split Columns into Rows
  • Group By
  • Grouping by Dates/Times
  • Date/Duration Calculations
  • Conditional Columns
  • Columns from Examples
  • Extracting from Data Sources
  • Getting Data from Excel
  • Getting Data from CSV
  • Getting Data from PDF
  • Getting Data from Websites

This course is available for 30 days. You can choose when to start your access period. Once you activate, you will have 30 days to complete it (access the course materials, quizzes, projects and videos). You may request one extension of seven (7) days. Other extension requests will be evaluated on a case-by-case basis. Videos are not downloadable.

Refund Policy

  • Students may cancel up to 14 days before the class/program start date and receive a refund, less the registration fee (10% of the undiscounted course price). 
  • Cancellations within 14 days are not permitted, but students may reschedule up to three business days before the class start date.
  • For cancellations and reschedules, please email us at [email protected]

In any event where a customer wants to cancel their enrollment and is eligible for a full refund, a 5% processing fee will be deducted from the refund amount.

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