Overview
In this online Power Query Fundamentals course, we’ll explore the world of data transformation and automation. You’ll learn to extract data from multiple different sources, and transform it into layouts more suited to analysis. We will show you how to automate data connections and transformations, as well as how to extract and consolidate data from multiple files. Finally, we’ll end by looking at how to deal with common errors.
Power Query is essential for any Excel-focused analyst and is a powerful asset to any Business Intelligence analyst. These skills will help you spend less time on data manipulation and more time on your analysis projects.
By the end of this course, you will be able to:
- Identify the characteristics of good and bad data using the principles of data normalization
- Extract data from CSV and Excel files and automate basic transformations such as Pivot and Unpivot
- Extract information from fields that combine two or more values
- Transform datasets by grouping or combining data from different tables, or even multiple files from the same folder
- Avoid, interpret, and fix errors and exceptions that you experience in Power Query
- Load transformed data into Excel for use as automated data feeds
Provider: Coursera
Categories: Business Intelligence Courses, Microsoft PowerApps Courses
Syllabus
Taught by
Sebastian Taylor and Joseph Yeates
Tags
Coursera
Coursera
1450 Courses
Coursera
Free Online Course (Audit)
English
5-6 hours
On-Demand
Beginner
