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Free Download Beginning Power BI: A Practical Guide to Self-Service Data Analytics with Excel 2016 and Power BI Desktop

Free Download Beginning Power BI: A Practical Guide to Self-Service Data Analytics with Excel 2016 and Power BI Desktop

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Beginning Power BI: A Practical Guide to Self-Service Data Analytics with Excel 2016 and Power BI Desktop

Beginning Power BI: A Practical Guide to Self-Service Data Analytics with Excel 2016 and Power BI Desktop


Beginning Power BI: A Practical Guide to Self-Service Data Analytics with Excel 2016 and Power BI Desktop


Free Download Beginning Power BI: A Practical Guide to Self-Service Data Analytics with Excel 2016 and Power BI Desktop

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Beginning Power BI: A Practical Guide to Self-Service Data Analytics with Excel 2016 and Power BI Desktop

Review

“The goal of this book is to expose readers to the various tools in Microsoft’s self-service BI stack, built over Excel 2016, comprising Power Pivot, Power BI Desktop, Power Query, and DAX to enable them to analyze and gain insight into their data. … The book is easy to read and use because of its lucid style. It should interest Excel users looking to enhance their data analysis skills.” (Computing Reviews, August, 2017)Â

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From the Back Cover

Analyze your company’s data quickly and easily using Microsoft’s latest tools. Build scalable and robust data models to work from. Learn to clean and combine different data sources effectively. Create compelling visualizations and share them with your colleagues.Author Dan Clark takes you through each topic using step-by-step activities and plenty of screen shots to help familiarize you with the tools. This second edition includes new material on advanced uses of Power Query, along with the latest user guidance on the evolving Power BI platform. Beginning Power BI is your hands-on guide to quick, reliable, and valuable data insight.What You Will Learn:Simplify data discovery, association, and cleansingCreate solid analytical data modelsCreate robust interactive data presentationsCombine analytical and geographic data in map-based visualizationsPublish and share dashboards and reports

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Product details

Paperback: 368 pages

Publisher: Apress; 2nd ed. edition (March 6, 2017)

Language: English

ISBN-10: 9781484225769

ISBN-13: 978-1484225769

ASIN: 1484225767

Product Dimensions:

7 x 0.8 x 10 inches

Shipping Weight: 1.4 pounds (View shipping rates and policies)

Average Customer Review:

4.1 out of 5 stars

8 customer reviews

Amazon Best Sellers Rank:

#290,032 in Books (See Top 100 in Books)

I wanted to finish this book before writing a review. After reading three other books on Power Pivot and Power BI before reading Dan's book, Beginning Power BI, I still found it refreshing. Dan meticulously takes the reader on a journey of rediscovery of familiar topics in a new way. There is always something new to learn, even if you have read other books.In each chapter, the books sets out with topics to master and then delves deeply into each without being too technical. The chapter ends with a hands-on exercise with relevant data files to allow the reader enrich his/her learning experience. To do the exercises, I created copies of the original data files and saved the results in a new folder named ChapterLabs Practice that houses each chapter lab exercise.What distinguishes Beginning Power BI from other books I have read is the inclusion of three use cases for a complete solution in Chapter 12. It is like a test to see how much you have learned. I was able to duplicate the results for use cases 1 and 3 similar to Dan's results, except for use case 2. I think the problem is from the Quota table in Table 12-4 which has different columns from the Quotas table in the relationship model in Figure 12-12. The columns in the sales quotas four data files which were combined to create the Quotas query did not contain have those columns in the relationship model. I want to believe that Quota table and Quotas table are the same except for the "s" and this is very confusing to a beginner.I intend to contact Dan to see if he resolve this confusion for me. I would like to know if any other reader has obtained the same result for use case 2 as Dan's, or if it is just me not being able to obtain a similar result as Dan's.Stay tuned for an update after hearing from the author!

Unlike the "see inside" view, the book actually is not colored. It is black and white book.Looks like only Kindle edition is colored.

Good reference

It's mostly about Power Pivot. It only has about 140 pages on Power BI. It covers the bare essentials.

An excellent book on building the fundamentals of PowerPivot to get into DAX. I have been struggling to get "my head around" DAX as I am a developer and have not done lots of analytics with Excel. I have done analytics with Python and R but was struggling with PowerPivot and Excel. I just finished chapter 2 and am looking forward to devouring the rest of the book to further enhance my PowerPivot and DAX knowledge to take Power BI to the next level. I would highly recommend this book to anyone digging into Power BI and having a hard time with DAX due to the foundation of DAX being PowerPivot and Excel Analytics.

As usual, Dan does a good job starting off small and growing your skills as you move through the book. I loved how he started us in Excel to build our base of skills and then moves us to the new Power BI tools. Other books start you off in the Power BI tool, assuming someone else has already done the hard work to set up data sets for you. I found the exercises easy to follow and all the code I have tried so far works well. Apress even has an option to buy the eBook as a companion for a low cost.

This should be required reading for anyone that would like to be productive in PowerBi. Dan does a great job of teaching the fundamentals of how to acquire, shape, and visualize data using PowerBi. Easy to read and at the appropriate pace to get up and running quickly. Great book - highly recommend!

Great book! Really like the build up of the process to get the underlying data structures correct (core fundamental building blocks to get from data to analytics with details, examples, and hands-on exercises). Recommended reading for anyone building Power BI solutions or even just as a handy reference tool when you and DAX start feeling like frenemies.

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Beginning Power BI: A Practical Guide to Self-Service Data Analytics with Excel 2016 and Power BI Desktop PDF

Beginning Power BI: A Practical Guide to Self-Service Data Analytics with Excel 2016 and Power BI Desktop PDF

Beginning Power BI: A Practical Guide to Self-Service Data Analytics with Excel 2016 and Power BI Desktop PDF
Beginning Power BI: A Practical Guide to Self-Service Data Analytics with Excel 2016 and Power BI Desktop PDF
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