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Complete Introduction to Power BI Query Editor

Name: Complete Introduction to Power BI Query Editor
Rating: 4.6 (4233 reviews)

Learn how to import, transform, cleanse and manipulate data using the Query Editor in Microsoft Power BI

Role Play

Created byIan Littlejohn

Last updated 2/2026

English

English [Auto],Spanish [Auto],

What you'll learn

Enjoy CLEAR and CONCISE step by step lessons from a best selling Udemy instructor in FULL HD 1080 P video
Have a COMPREHENSIVE understanding of connecting and transforming data using Microsoft Power BI
Enjoy CLEAR and CONCISE step by step instruction from a best selling Udemy instructor
Load data into Power BI from a multitude of different SOURCES including SQL Server, Excel, CSV, JSON, XML and Google Analytics
Perform BASIC transformations such as filtering, changing data types, remove columns and creating new calculated columns
Perform ADVANCED transformations such as Merging, Appending, Unpivoting, Grouping and Calculating Custom Columns
Learn to CLEAN data and LOAD data using parameters

Course content

8 sections • 37 lectures • 2h 45m total length

Introduction to the Course2:24
Introduction to the course and what we will be covering in the course
About the Course1:23
Please download the Training Data Files0:04
Welcome to the Udemy Roleplay0:36
Discussion about using Power BI Query Editor for your data analysis

Introduction to Transformations0:57
Transformations Part 110:28
Explore Power BI query editor transformations, including using the advanced editor and M script, filtering data, changing data types, renaming and removing columns, and applying steps to load updates.
Transformations Part 27:27
Transformations Part 39:05
Practical Activity - Transformations0:11
Practical Activity Completed6:07
Learn to analyze employee tenure in Power BI by calculating length of service, creating department statistics (average, max, min), and using cross filtering to view employee lists.
Conditional IF6:32
Create salary groupings with a conditional column in the Power BI query editor. Use a matrix to count employees per salary range and analyze by gender and department.
Practical Activity - Conditional IF0:15
Practical Activity - Conditional IF4:55
Meeting with Ada to discuss common transformations

Introduction to Advanced Transformations2:48
Explore advanced transformations in the Power BI query editor, including merge with one-to-many relationships, append, custom calculations, and group by for invoice summaries by customer.
Merge Function8:04
Use the merge function in the Power BI query editor to bring in related data with a left outer join on the employee ID, enabling name and department lookups.
Practical Activity - Merge Function0:13
Practical Activity Completed - Merge7:21
Learn how to merge Power BI query editor tables to create an employee KPI table, using left outer and inner joins, and apply aggregation to count courses and sum costs.
Append Data7:28
Custom Calculations5:15
Group By Function7:38
Meeting with Ada to discuss advanced transformations

Introduction to Cleanse Data1:06
Explore data quality across columns with visualization tools in the query editor, review diagnostic results from data refreshes, and cleanse a flawed table into a well-formatted one.
Download the Training Data Files0:02
Query Editor Diagnostics11:27
Discover how the power bi query editor assesses data quality, uses previews and diagnostics to reveal behind-the-scenes steps, and guides cleaning a messy excel data file.
Cleansing Data Files6:18
Cleanse a data file in Power BI query editor by removing top rows and grand totals, promoting headers, filtering totals, and unpivoting years into year and sales for matrix report.
Meeting with Ada to discuss cleansing data

Introduction to Power BI Data Connections and Sources0:59
A brief introduction to the section on connecting to different data sources.
Loading Data from SQL Server8:59
In this lesson we learn how to connect to a SQL database. We show how to access SQL tables and how to import the tables into Power BI.
Loading Data from CSV and TXT3:43
In this lesson we cover how to load data into Power BI from Excel files.
Practical Activity - Load Data from a CSV file0:14
In this practical activity you are able to practice loading data from a csv file into Power BI.
Loading Data from the Web6:01
In this lesson we learn how to access data that is on the web and load it into Microsoft Power BI Desktop. Please note that data must be in an HTML table format for Power BI to access the data.
Practical Activity - Connect to Data on the Web0:22
In this practical activity you will connect to a web data source and import the data into Power BI
Loading Data from XML files3:09
This lessons shows how to load an XML file into Microsoft Power BI
Loading Data from JSON4:53
JSON is a common format for transferring data between systems, especially on the Internet. In this lesson we review how to load JSON data into Power BI
Loading Data from the Power BI Service4:09
Data sets that are loaded into the Power BI service can also be used as sources for new reports. In this lesson we review how to access and load data from the Power BI service.
Meeting with Ada to discuss loading data from different sources

Requirements

You will require Power BI desktop and access to the Power BI Service on the Internet
You should be able to work with data in Excel and do basic reporting
Download the Power BI Desktop app which is available free from Microsoft for Windows

Description

Skills in data analysis, reporting and the creation of dashboards are highly valued in today's business environment. Microsoft Power BI is now recognized as the leading Business Intelligence tool in the world for the development of reports, data analysis and dashboards.

In this course you will learn the to use the amazing Power BI tool to transform and prepare your data for analysis. You will learn to use the Query Editor to connect to data, perform advanced transformation and also to clean data.

COURSE CONTENT AND OUTCOMES

Basic Data Transformations - Learn about filtering data, changing data types, adding new columns and removing columns
Advanced Data Transformations - Merging data into one table, Appending data, Grouping data, conditional rules and custom fields
Data Cleansing - Techniques and skills to clean up your data
Connecting to Data Sources - Learn how to connect and access data from a variety of different data sources including, files, databases, web URL, JSON and XML
How to use the Power BI Service dataflows

ABOUT THE TRAINER

I am a Udemy Instructor Partner with more than 20 years' experience in training & management consulting. I specialise in training business users to learn powerful methods and techniques to transform data into useful information and intelligence as well as learning strong data analysis methodology using Microsoft Excel, Microsoft Power BI, Looker Studio (formerly Google Data Studio), Amazon QuickSight and ChatGPT.

WHAT STUDENTS ARE SAYING

Step by step process allowed me to understand stuff immensely
I have learned a lot about power BI on this learning and I now have a better understanding about it
I had basic PBI knowledge, this course helped me to improve my current skills. Professional, understandable and clear communication with a lot of great examples which can be used for my work on daily basis. Thank you !!!

DATA ANALYSIS COURSES ROADMAP

The tech industry is constantly evolving, there have been significant investments in the field of AI, machine learning and big data and this means there is a growing demand for data analysts. With the right skills and a proactive approach, a data analyst can reach unprecedented heights! I currently offer the following 14 courses on Udemy covering a wide variety of tools and skills that will empower you to confidently explore the dynamic realm of data analysis, gain valuable skills in data interpretation and drive intelligent, data driven decisions.

Microsoft Excel

Introduction to Analyzing Data with Excel Pivot Tables
Complete Introduction to Excel Power Pivot
Complete Introduction to Excel Power Query
Excel Interactive Dashboards and Data Analysis
Complete Introduction to Business Data Analysis
Tables and Formulas with Excel

Microsoft Power BI

Complete Introduction to Microsoft Power BI
Complete Introduction to Power BI Query Editor
Power BI Master Class-Data Models and DAX Formulas
Power BI Master Class - Dashboards and Power BI Service

Google

Complete Introduction to Google Sheets Pivot Tables
Complete Introduction to Looker Studio (formerly Google Data Studio)

Amazon QuickSight

Complete Introduction to Amazon QuickSight

ChatGPT

Introduction to Analyzing Data with ChatGPT

Who this course is for:

Excel users who want to learn how to create PROFESSIONAL reports in Power BI
Learners who want to LEARN Microsoft Power BI

Complete Introduction to Power BI Query Editor

What you'll learn

Explore related topics

Course content

Introduction5 lectures • 4min

Overview of the Query Editor1 lecture • 10min

Perform Transformations10 lectures • 46min

Advanced Transformations8 lectures • 39min

Cleanse Data and Parameters5 lectures • 19min

Connect to Power BI Connections and Data Sources10 lectures • 32min

Power BI Service - Dataflows2 lectures • 14min

Conclusion2 lectures • 1min

Requirements

Description

Who this course is for: