Power Query Bootcamp
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- Live or Self-paced
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Book live on Noble DesktopSummary
Learn to use Power Query to clean, transform, and organize data for analysis. Working directly within the Power Query interface, you'll apply structured transformations, reshape datasets using tools such as Pivot, Unpivot, and Transpose, and combine data from multiple sources through appending and merging.
The course also covers creating grouped summaries, conditional columns, and columns from examples to enrich your data. You'll finish by learning how to organize and manage queries effectively using applied steps, duplication, dependencies, and refresh behavior.
Prerequisites
Participants should have knowledge equivalent to our Excel Bootcamp.
Curriculum
What you'll 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 syllabus
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
What's included
- Free course retake within one year to refresh the material and gain practice.
- Class recordings
Stated by the provider. Confirm what your tuition covers before enrolling.
Live classes
Choose dates and book your instructor-led class on nobledesktop.com.
-
In-person or live online
Starts at 10:00 · America/New_York (EST); final session ends at 17:00 EST
-
In-person or live online
Starts at 10:00 · America/New_York (EST); final session ends at 17:00 EST
Confirm current dates and availability on Noble Desktop before booking.
Self-paced course
Learn through recorded lessons on your own schedule.
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.
- Tuition
- $499
- Course length
- 6 hours
- Schedule
- On your schedule
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.
Self-paced prerequisites
Participants should have knowledge equivalent to our Excel Bootcamp.
Self-paced curriculum
What you'll learn self-paced
- 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.
Self-paced syllabus
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