• views: 192
• date: 7 September 2024
• posted by: voska89

Often the data required for analysis is spread across sources not easily dropped into Excel. In fact, Microsoft estimates that users spend 80% of their time prepping data as opposed to analyzing it. Power Query extends the reach of Excel, giving users a familiar way to access various types of data in its many forms and ease the preparation process. In this course, Data Transformation with Power Query in Microsoft Excel, you'll gain the ability to access and transform various types of data so that it can be utilized directly in Excel. First, you'll explore connecting to many different sources of data including data in all shapes, sources, and sizes, and even learn to create custom connectors. Next, you'll discover how to transform data from things as simple as changing column names and data types to merging, sorting, aggregating, and pivoting data. Finally, you'll learn how to load your transformed data back into Excel. When you're finished with this course, you'll have the skills and knowledge of using Power Query needed to successfully extract, transform, and load data right into Excel as well as gain a familiarity with Power Query that is transferable to the many other Microsoft products that are Power Query enabled.
Homepage

https://app.pluralsight.com/library/courses/microsoft-excel-data-transformation-power-query/table-of-contents

   
   
   

Forex Trading

Crypto Trading. 20 USD Bonus after KYC

We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm

0 1 2 3 4 5

| Print version |

	Information
		Users of GUESTS are not allowed to comment this publication.