Data Skills for Excel Professionals

Excel is the most widely used analysis tool in the world and a great starting point for diving into data analysis. In this course, you’ll apply Excel’s native tools to structure your data into spreadsheets and tables. You’ll then analyze and produce insights from that data using pivot tables. Finally, you’ll visualize those insights by building a dashboard in Excel. You’ll apply these skills using modern functionality like dynamic array formulas, linked data types, and Ideas in Excel. You’ll work hands-on with real-world scenarios, using datasets pulled from financial statements and retail sales. By the end of the course, you'll be able to: ● analyze a dataset using native Excel tools ● apply Excel tools and formulas to transform and structure your data ● create pivot tables to slice and dice your data ● visualize data with pivot charts and Excel Charts ● describe the landscape of data analysis and visualization

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 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