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Collect, Combine, and Transform Data Using Power Query in Excel and Power Bi


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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

About the Author

Gil Raviv is a Microsoft MVP and a Power BI blogger at https://DataChant.com. 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 fi elds 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. In his blog, DataChant.com, Gil has been chanting about Power BI and Power Query since he moved to his new home in the Chicago area in early 2016. As a Group Manager in Avanade's Analytics Practice, Gil is helping Fortune 500 clients create modern self-service analytics capability and solutions by leveraging Power BI and Azure. You can contact Gil at gilra@datachant.com.

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