Collect, Combine, and Transform Data Using Power Query in Excel and Power BI by

Description: FREE SHIPPING UK WIDE Collect, Combine, and Transform Data Using Power Query in Excel and Power BI by Gil Raviv "Published with the authorization of Microsoft Corporation"--Title page verso. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description Using Power Query, you can import, reshape, and cleanse any data from a simple interface, so you can mine that data for all of its hidden insights. Power Query is embedded in Excel, Power BI, and other Microsoft products, and leading Power Query expert Gil Raviv will help you make the most of it. Discover how to eliminate time-consuming manual data preparation, solve common problems, avoid pitfalls, and more. Then, walk through several complete analytics challenges, and integrate all your skills in a realistic chapter-length final project. By the time youre finished, youll be ready to wrangle any data - and transform it into actionable knowledge. Samples Preview sample pages from Collect, Combine, and Transform Data Using Power Query in Excel and Power BI > Author Biography Gil Raviv is a Microsoft MVP and a Power BI blogger. As a Senior Program Manager on the Microsoft Excel Product team, Gil led the design and integration of Power Query as the next-generation Get Data and data-wrangling technology in Excel 2016, and he has been a devoted M practitioner ever since. With 20 years of software development experience, and four U.S. patents in the fields of social networks, cyber security, and analytics, Gil has held a variety of innovative roles in cyber security and data analytics, and he has delivered a wide range of software products, from advanced threat detection enterprise systems to protection of kids on Facebook. Table of Contents Section 1: Transforming Data Chapter 1: Introduction to Power Query Chapter 2: Basic Data Challenges Chapter 3: Combining Data from Multiple Sources Chapter 4: Unpivoting and Transforming Data Chapter 5: Pivoting & Handling Multiline Records Section 2: Exploring Data Chapter 6: Ad-Hoc Analysis Chapter 7: Using Query Editor to Further Explore Data Section 3: Scaling Up Queries for Production or Larger Data Sets Chapter 8: Introduction to the M Query Language Chapter 9: Lightweight modification of M formulas to improve query robustness Section 4: Real Life Challenges Chapter 10: Solving Real-Life Data Challenges Chapter 11: Social Listening Chapter 12: Text Analytics Chapter 13: Concluding Exercise – Hawaii Tourism Data Feature Students will learn to: 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 Gain effiiciency by reducing the time it takes to prepare data for analysis, and make informed decisions more quickly. Details ISBN1509307958 Author Gil Raviv Year 2018 ISBN-10 1509307958 ISBN-13 9781509307951 Format Paperback Imprint Microsoft Press Place of Publication Boston Country of Publication United States Media Book DEWEY 005.54 Language English Series Business Skills Pages 432 AU Release Date 2018-12-12 NZ Release Date 2018-12-12 Publication Date 2018-12-19 UK Release Date 2018-12-19 Publisher Microsoft Press,U.S. Replaced by 9780138115791 Audience Professional & Vocational US Release Date 2018-12-19 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! 30 DAY RETURN POLICY No questions asked, 30 day returns! FREE DELIVERY No matter where you are in the UK, delivery is free. SECURE PAYMENT Peace of mind by paying through PayPal and eBay Buyer Protection TheNile_Item_ID:123790562;

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