![[Review] Collect, Combine, and Transform Data Using Power Query in Excel and Power BI (Gil Raviv) Summarized.](https://episodes.castos.com/660078c6833215-59505987/images/2685995/c1a-085k3-v66pmgo5ujp-hb8lw0.jpg)
Show Notes
Collect, Combine, and Transform Data Using Power Query in Excel and Power BI (Gil Raviv)
- Amazon USA Store: https://www.amazon.com/dp/1509307958?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Collect%2C-Combine%2C-and-Transform-Data-Using-Power-Query-in-Excel-and-Power-BI-Gil-Raviv.html
- Apple Books: https://books.apple.com/us/audiobook/the-marathon-dont-stop-unabridged/id1557596061?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=Collect+Combine+and+Transform+Data+Using+Power+Query+in+Excel+and+Power+BI+Gil+Raviv+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/1509307958/
#Refreshabledatapreparation #Mformulalanguage #Mismatchedtablecombination #Advancedunpivoting #Querydiagnostics #CollectCombineandTransformDataUsingPowerQueryinExcelandPowerBI
Collect, Combine, and Transform Data Using Power Query in Excel and Power BI is a practical technical guide by Gil Raviv, originally published in 2019 as part of the Business Skills series. It addresses the data-preparation work that precedes analysis: importing data, correcting inconsistent structures, combining sources, reshaping tables, and creating repeatable transformation processes. The book treats Power Query not merely as an import feature but as a data-wrangling engine available in Excel and Power BI. Its approach is organized around recognizable business problems rather than a catalog of commands. Readers begin with visual, step-based transformations and are then introduced to the M formula language that records and extends those steps. Coverage includes mismatched tables, pivoting and unpivoting, collaboration concerns, text-oriented analysis, and a final integrative project. The result is aimed at analysts and capable spreadsheet users who need to replace fragile copy-and-paste routines with refreshable queries and more reliable analytical inputs.
- Amazon USA Store: https://www.amazon.com/dp/1509307958?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Collect%2C-Combine%2C-and-Transform-Data-Using-Power-Query-in-Excel-and-Power-BI-Gil-Raviv.html
- Apple Books: https://books.apple.com/us/audiobook/the-marathon-dont-stop-unabridged/id1557596061?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=Collect+Combine+and+Transform+Data+Using+Power+Query+in+Excel+and+Power+BI+Gil+Raviv+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/1509307958/
#Refreshabledatapreparation #Mformulalanguage #Mismatchedtablecombination #Advancedunpivoting #Querydiagnostics #CollectCombineandTransformDataUsingPowerQueryinExcelandPowerBI
Collect, Combine, and Transform Data Using Power Query in Excel and Power BI is a practical technical guide by Gil Raviv, originally published in 2019 as part of the Business Skills series. It addresses the data-preparation work that precedes analysis: importing data, correcting inconsistent structures, combining sources, reshaping tables, and creating repeatable transformation processes. The book treats Power Query not merely as an import feature but as a data-wrangling engine available in Excel and Power BI. Its approach is organized around recognizable business problems rather than a catalog of commands. Readers begin with visual, step-based transformations and are then introduced to the M formula language that records and extends those steps. Coverage includes mismatched tables, pivoting and unpivoting, collaboration concerns, text-oriented analysis, and a final integrative project. The result is aimed at analysts and capable spreadsheet users who need to replace fragile copy-and-paste routines with refreshable queries and more reliable analytical inputs.
