Overview of Power Query basics
Master the art of efficient data processing with Power Query, an essential tool for modern data professionals. This course walks you through the basics of data extraction and transformation and teaches you to seamlessly integrate data from multiple sources. You’ll learn common techniques for cleaning and restructuring datasets to ensure they’re ready for analysis. By mastering these skills, you can transform time-consuming data preparation into an efficient, automated process.
Dive into the practical applications of Power Query in real-world scenarios. We address automating data connections, consolidating data from multiple files, and effectively troubleshooting common problems. This course is aimed at both Excel-oriented analysts and business intelligence experts. It gives you the expertise you need to spend less time manipulating data and more time delivering meaningful insights.
Power Query fundamentals learning objectives
At the end of this course you will be able to:
- Identify the characteristics of good and bad data using data normalization principles.
- Extract data from CSV and Excel files and automate basic transformations like pivot and unpivot.
- Extract information from fields that combine two or more values.
- Transform data sets by grouping or combining data from different tables or even multiple files from the same folder.
- Avoid, interpret, and resolve errors and exceptions that occur in Power Query.
- Load transformed data into Excel to use as automated data feeds.
Who should take this course?
This Power Query course is perfect for anyone looking to expand their understanding of business intelligence. This course is designed to provide the fundamental knowledge of Power Query to anyone who wants to start a career in data analysis, quantitative analysis, business intelligence, or other financial fields.
Software requirements
Power Query is available in most versions of Microosft Excel and Power BI. To find out if it is available specifically in your version, follow this link:
