What does Power Query Editor do?

Power Query Editor is one of the ways that you can connect Power BI to one or many data sources and then shape and transform your data. You can use it to apply hundreds of different data transformations to prepare your data without affecting your original file.

Who needs Power BI skills?

Power BI skills are in high demand by employers and companies worldwide. They’re useful for Data Analysts in particular, but also in careers that may involve data analysis, such as finance, HR, marketing, or eCommerce. Power BI was developed for the everyday business user rather than developers and is particularly useful for data visualization and telling stories built from data analysis.

Can I use Power BI for ETL?

Yes, you can use Power Query Editor to extract, transform, and load data within Power BI. You can use this tool to perform a variety of transformations to clean, evaluate, shape, and combine your data ready for analysis.

Data Preparation Course in Power BI with Power Query Editor | DataCamp Course

Name: Data Preparation in Power BI
Rating: 4.8620948379351745 (6664 reviews)

Data Preparation in Power BI

BasicSkill Level

4.8+

6,664 reviews

Updated 12/2025

In this interactive Power BI course, you’ll learn how to use Power Query Editor to transform and shape your data to be ready for analysis.

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Course Description

Learn How to Use Power Query Editor

Transform and shape your data in Power BI. In just 3 hours, you’ll cover essential data preparation steps, previewing data in power query, and transformations.

By the end of this course, you’ll feel confident using a range of Power Query Editor tools and techniques and know how to clean and prepare your data for the next stage in the data analysis workflow.

Manipulate Data in Power BI

Power Query is a powerful data manipulation framework available throughout a number of Microsoft tools, which allows you to clean different data types ready for analysis. You’ll learn how to deal with duplicates, missing values, and profiling to find anomalies. After each new topic is introduced, you'll have the opportunity to put your new knowledge into practice with hands-on exercises, such as splitting and merging text columns.

Master Data Transformation in Power Query

The last two chapters of this course are focused on helping you with transformations in Power BI, allowing you to transform text, apply logarithmic and square root transformations, and date transformations.

This course is part of the Data Analyst and Power BI tracks, offering you plenty of ways to improve your Power BI skills or even build towards a career in data analysis.

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What you'll learn

Identify how to load, transform, structure, and prepare data, including using conditional/custom logic and the Advanced Editor
Recognize how to perform simple & advanced text/string, numerical, and date manipulations on your data
Recognize how to use the features in Power Query to diagnose and fix common errors (data entry/missing values/etc.) in the data

Prerequisites

Introduction to Power BI

Profiling your Data and Introduction to Power Query

Data preparation is key to becoming a successful data analyst. You’ll learn how to do essential data preparation steps such as filtering and renaming columns and how to use data preview in Power BI to identify common errors that appear in datasets.

Introduction to Power Query

50 XP

What is clean data?