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Excel Business Intelligence: Power Query

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From the course: Excel Business Intelligence: Power Query

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  • Course details

    Microsoft Excel includes a powerful feature called Power Query—also known as Get & Transform or Get Data—which provides fast and powerful data gathering and cleansing capabilities. In this course—the first installment in the Excel Business Intelligence series—follow along with experienced Excel trainer Chris Dutton as he shows you the robust capabilities of Power Query. Chris kicks off the course by outlining the power Excel landscape and spelling out when to use business intelligence tools like Power Query, Power Pivot, and DAX. He then dives into Power Query, explaining how to leverage key query editing tools to connect and transform data. Learn about basic Power Query table transformations, text-specific query editing tools, how to merge and append queries, and more. Chris also shares best practices for working efficiently with Power Query.

    Instructor

    • Click here to view Chris Dutton’s instructor page

      Chris Dutton

      Founder & COO, Maven Analytics

      Chris Dutton is a certified Microsoft Excel Expert and analytics consultant.Chris has nearly a decade of experience working with Fortune 500 companies across automotive, retail, insurance, and travel verticals. He has developed award-winning business intelligence and data visualization tools, which have been featured by Microsoft, the New York Times, and the Society of American Baseball Research (SABR). As founder of Excel Maven, Chris has helped thousands of students learn how to use Excel as a dynamic and powerful analytics tool, and has developed personalized training programs for individuals, private groups, and businesses across the country. He graduated summa cum laude and received the Charles Bluhdorn Prize in Economics at Tufts University.

    Skills covered in this course

  • Welcome

    - [Instructor] All right, let's take a minute to talk about our course project and our course resource files. Throughout this entire course, we'll be using sample data from a fictional supermarket chain called FoodMart. Now, some fine print here, this data is fake. It's provided by Microsoft, so when we talk about trends and insights and patterns, it's all just purely for educational purposes, so keep that in mind. That said, it's a great, really rich data set. In addition to daily transactional records over a two year period from 1997 through 1998, our data set's going to include information about products, about customers, stores, and regions. And all of the files that we'll be working with are available for download in the course resources section of the course dashboard. So quick preview, here's a little bit of a snapshot of some of the tables we're going to be working with for this FoodMart project. We're going to have two different data tables with transaction data and return…

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Contents