Complete Introduction to Power BI Query Editor

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

4.50 (3702 reviews)

Udemy

platform

English

language

Microsoft

What you will 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 Gallery

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Complete Introduction to Power BI Query Editor – Screenshot 4 — Screenshot 4 – Complete Introduction to Power BI Query Editor

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Comidoc Review

Our Verdict

The Complete Introduction to Power BI Query Editor provides in-depth theoretical knowledge, targeting users coming from various data sources and skill levels. With its focus on connecting and transforming data using the Query Editor, it teaches essential skills for working with Microsoft Power BI—just be aware of its minor limitations in practical exercises and occasional isolated technical issues. Ideal to learn fundamental concepts and build a solid base before diving into more advanced or specialized topics related to this powerful platform.

What We Liked

Comprehensive coverage of connecting and transforming data using Power BI Query Editor, from basic to advanced transformations like merging, appending, unpivoting, grouping, and calculating custom columns.
High-quality full HD 1080p video lessons by a best-selling Udemy instructor with clear and concise explanations.
Targeted at learners working with various data sources including SQL Server, Excel, CSV, JSON, XML, and Google Analytics.
Includes real-world examples that provide context and understanding of when to apply techniques.

Potential Drawbacks

SQL Server connection option in the course is currently unavailable which may affect understanding SQL Server connections.
Limited practical exercises provided for hands-on experience with the taught concepts and techniques.
Some users mention that the course could condense some beginner sections and go deeper at a master class level.
A few users experienced minor aggregation issues when following specific steps; these seem to be isolated incidents.