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.
Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.
Power Query is absolutely 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
This course is part of the Data Skills for Excel Professionals Specialization.
Syllabus
Getting Started
Basic Transformations
Extracting Information
Consolidating Data
Dealing with Errors
Qualified Assessment
