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Collect, Combine, and Transform Data using Power Query in Excel and Power BI Collect, Combine, and Transform Data using Power Query in Excel and Power BI

Collect, Combine, and Transform Data using Power Query in Excel and Power BI Collect, Combine, and Transform Data using Power Query in Excel and Power BI

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  • Estimated Release: Oct 3, 2018
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Description

  • Copyright 2019
  • Pages: 368
  • Edition: 1st
  • eBook (Watermarked)
  • ISBN-10: 1-5093-0801-6
  • ISBN-13: 978-1-5093-0801-9

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?


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.

Sample Content

Table of Contents

1: Introduction to Power Query

2: Basic Data Preparation Challenges

3: Combining Data from Multiple Sources

4: Combining Mismatched Tables

5: Preserving Context

6: Unpivoting Tables

7: Advanced Unpivoting and Pivoting of Tables

8: Addressing Collaboration Challenges

9: Introduction to Power Query M Formula Language

10: From Pitfalls to Robust Queries

11: Basic Text Analytics

12: Advanced Text Analytics - Extracting Meaning

13: Social Network Analytics

14: Final Project - Combine It All Together

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