Master Get & Transform data in Power BI through Query Editor

Power Query editor in Power BI Desktop to get and transform data the way you want very quickly. Different case studies.
4.52 (71 reviews)
Udemy
platform
English
language
Microsoft
category
instructor
Master Get & Transform data in Power BI through Query Editor
354
students
6 hours
content
May 2025
last update
$19.99
regular price

Why take this course?

🚀 Master Power BI - Get & Transform Data with Confidence! 📊

Course Title: Power BI - Get & Transform Data Mastery in Data Cleaning

Course Headline:

Power Query Editor in Power BI Desktop to get and transform data the way you want, very quickly. Real-world case studies included!


Welcome to the World of Data Insights with Microsoft Power BI!

Microsoft Power BI is not just a suite of Business Intelligence tools; it's your gateway to uncovering crucial business insights effortlessly. With its powerful combination of Power Query, Power Pivot, and Power View, Power BI transforms the way you interact with data. This course is dedicated to mastering the first step of this trio: the Power Query Editor.

What is Power Query?

Power Query, also known as Power BI Query Editor, is your go-to tool for connecting to a multitude of data sources, simplifying data preparation, and driving ad-hoc analysis. It's where your data journey begins! 🛣️


Course Overview:

  • Data Discovery: Find and connect to diverse data sources, both public and private.
  • Data Loading: Import and select the data you need for analysis.
  • Data Modification: Transform and structure your data tables, filter, and clean your data, and join separate data sources as required.

The Power of Power Query:

Power Query is a game-changer in data handling. It allows you to:

  1. Import Data: From hundreds of sources, including databases, files, social media, and big data.
  2. Merge Data: Combine data from multiple sources into a coherent structure.
  3. Shape Data: Customize your data into the format that suits your needs.
  4. Cleanse Data: Ensure your data is reliable and easy to use through cleaning and preparation.

Course Structure:

  1. Installation & Configuration: Get started with the basic setup of Power BI Desktop.
  2. Data Connection: Learn how to connect to various data sources and bring data into Power Query.
  3. Data Transformation: Master the art of reshaping, filtering, and cleaning your data for analysis.
  4. Effective Data Views: Create compelling data views that are ready for in-depth analysis.

The ETL Process Simplified:

While the steps of Extraction, Transformation, and Loading (ETL) may seem linear, the reality is often more dynamic. You'll learn to navigate through these stages, often iterating between them for the best results. Power Query enables you to perform ETL tasks with ease, making complex processes manageable.

Hands-On Learning:

Throughout this course, you'll engage in practical exercises that cover real-world scenarios. You'll learn through detailed recipes, development tips, and guidance on how to enhance your existing Power BI projects.


What You Will Learn:

  • The ins and outs of Power BI Query Editor.
  • How to connect to various data sources and perform data discovery.
  • Techniques for loading, shaping, and transforming data effectively.
  • Best practices for cleaningse your data for accuracy and reliability.
  • Strategies for merging multiple data sources into one coherent dataset.
  • Real-world case studies that demonstrate the application of these skills in various industries.

Who This Course Is For:

  • BI Professionals looking to expand their skill set with Power BI.
  • Data Analysts seeking to improve their data preparation and manipulation capabilities.
  • Anyone interested in learning how to leverage Power BI for data analysis and visualization.

Embark on your journey to becoming a Power BI expert today! With this comprehensive course, you'll unlock the full potential of your data and uncover insights that drive business decisions. 📈✨

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1152488
udemy ID
21/03/2017
course created date
26/02/2020
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