Power Query Advanced Editor With Introduction to M Language

Power Query Advanced Editor With Introduction to M Language
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Chapters:
00:08 Introduction & Welcome of Power Query
00:14 Why Learn Power Query?
00:27 What is Power Query?
00:55 Opening Power Query in Excel
01:13 Importing Data into Power Query
02:00 Navigating the Query Editor
02:26 Exploring Data Transformation Options
02:58 Example: Creating Custom Data Transformations
04:52 Advanced Editor and M Language
06:22 Power Pivot Overview
07:53 Features of Power Pivot
10:26 Enabling Power Pivot in Excel
11:22 Importing Data into Power Pivot
12:22 Creating Relationships and Measures
14:00 Understanding M Code in Power Query
15:08 Creating Custom Columns with M Code
16:02 Tips for Using M Code Effectively
Welcome to the advanced Excel Power Query tutorial on Educate Cube! 📊 If you're eager to enhance your data analytics skills, this video is perfect for you. Whether you’re a beginner or an experienced user, we’ll guide you step-by-step through the fundamentals of Power Query and introduce you to the M language, a powerful tool for advanced data transformations.
What You'll Learn:
Introduction to Power Query: Discover how to clean, shape, and transform data effortlessly within Excel.
Step-by-Step Data Import & Cleaning: Learn how to import data, remove duplicates, and change data types efficiently.
Practical Examples: Follow along as we demonstrate custom data transformations using Power Query's Advanced Editor.
Get & Transform Data: Explore how to connect to various data sources and unlock real-time business intelligence potential.
Advanced User Tips: Master advanced functions like 'Merge Queries,' 'Conditional Columns,' and the robust Power Pivot tool for data modeling.
Introduction to M Code: Dive into M language basics, learn to create custom columns, and leverage code for complex data transformations.
By the end of this tutorial, you'll be equipped to automate your data tasks, create optimized dashboards, and be well-prepared for roles involving Power BI and other analytics tools.
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[@tabishucms06]

Good in depth knowledge!
Continue doing the good work.

[@EducateCube]

Thanks a lot!