
Collect, Combine, and Transform Data Using Power Query in Excel and Power BI
1st Edition
Pearson Education · Print & ebook · October 25, 2018
Did you know that there is a technology inside Excel, and Power BI, that allows you to create magic in your data, avoid repetitive manual work, and save you time and money?
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- Who it’s for
- Learn to use Power Query in Excel and Power BI to reshape and cleanse data.
- Themes
- Data transformation, Automating repetitive data preparation, Finding insights in data
- Genres
- Spreadsheet Software, Business Intelligence, Data Mining
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Start with this bookAbout this book
Did you know that there is a technology inside Excel, and Power BI, that allows you to create magic in your data, avoid repetitive manual work, and save you time and money?
Continue reading
Using Excel and Power BI, you can: - Save time by eliminating the pain of copying and pasting data into workbooks and then manually cleaning that data. - Gain productivity by properly preparing data yourself, rather than relying on others to do it. - Gain effiiciency by reducing the time it takes to prepare data for analysis, and make informed decisions more quickly. With the data connectivity and transformative technology found in Excel and Power BI, users with basic Excel skills import data and then easily reshape and cleanse that data, using simple intuitive user interfaces. Known as “Get & Transform” in Excel 2016, as the “Power Query” separate add-in in Excel 2013 and 2010, and included in Power BI, you'll use this technology to tackle common data challenges, resolving them with simple mouse clicks and lightweight formula editing. With your new data transformation skills acquired through this book, you will be able to create an automated transformation of virtually any type of data set to mine its hidden insights.
Power Query Transformations
Learn to use Power Query in Excel and Power BI to reshape and cleanse data.
Come here for
- Importing, reshaping, and cleansing data in Excel and Power BI
- Automating repetitive data preparation with mouse clicks and light formula editing
Expect
- Guidance for common data challenges
- Automated data transformations for varied data sets
Where it sits
| Business Intelligence | 74% |
|---|---|
| Data Mining | 55% |
| Spreadsheet Software | 47% |
Percentages are BookFrontier’s reading of the book.
Publisher categories
- Data Warehousing
- Spreadsheet Software
- Authors
- Gil Raviv
- Publisher
- Pearson Education
- Published
- October 25, 2018
- Format
- Print & ebook
- Theme
- Data transformation · Automating repetitive data preparation · Finding insights in data
- Reading lane
- Data Warehousing