M Is for (Data) Monkey: A Guide to the M Language in Excel Power Query by Ken Puls, Miguel Escobar

M Is for (Data) Monkey: A Guide to the M Language in Excel Power Query



Download M Is for (Data) Monkey: A Guide to the M Language in Excel Power Query

M Is for (Data) Monkey: A Guide to the M Language in Excel Power Query Ken Puls, Miguel Escobar ebook
Page: 212
ISBN: 9781615470341
Format: pdf
Publisher: Holy Macro! Books


Reviews-Bio-Summary-All Formats-Sale Prices for M Is for (Data) Monkey: A Guide to the M Language in Excel Power Query. Amazon.co.jp： M Is for (Data) Monkey: A Guide to the M Language in Excel Power Query: Ken Puls, Miguel Escobar: 洋書. Power Query is one component of the Power BI (Business Intelligence) product from Microsoft, and M is the name of the programming language created by it. Be the first to review this item. Fishpond United States, M is for (Data) Monkey: A Guide to the M Language in Excel Power Query. Most Popular Excel Experts On Our Podcast! This concise, practical book provides a complete guide to Power Query and how to use it to solve all of your Excel data-loading problems. Buy M Is For Data Monkey A Guide To The M Language In Excel Power Query online. 37 · Back to item · Write a review. M Is for (Data) Monkey: A Guide to the M Language in Excel Power Query · $17. The book goes deep into the underlying M language, showing you how to do Teaches the basics of using Power Query to load data into Excel; Helps you M is for (Data) Monkey. Bank File Conversions App for Excel offers several output options for Is for (Data) Monkey: A Guide to the M Language in Excel Power Query. Amazon.com: Learn to Write DAX: A practical guide to learning Power Pivot for M Is for (Data) Monkey: A Guide to the M Language in Excel Power Query. Download Free Books M is for (Data) Monkey TXT eBook by Ken Puls. Power Query is one component of the Power BI (Business Intelligence) product from Microsoft, and “M” is the name of the programming language created by it. With Microsoft Power Query for Excel, you can add custom columns to your queries.





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