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Microsoft Power BI Data Analyst Certification Guide

You're reading from   Microsoft Power BI Data Analyst Certification Guide A comprehensive guide to becoming a confident and certified Power BI professional

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Product type Paperback
Published in Jun 2022
Publisher Packt
ISBN-13 9781803238562
Length 398 pages
Edition 1st Edition
Languages
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Authors (2):
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Edward Corcoran Edward Corcoran
Author Profile Icon Edward Corcoran
Edward Corcoran
Orrin Edenfield Orrin Edenfield
Author Profile Icon Orrin Edenfield
Orrin Edenfield
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Table of Contents (25) Chapters Close

Preface 1. Part 1 – Preparing the Data
2. Chapter 1: Overview of Power BI and the PL-300 Exam FREE CHAPTER 3. Chapter 2: Connecting to Data Sources 4. Chapter 3: Profiling the Data 5. Chapter 4: Cleansing, Transforming, and Shaping Data 6. Part 2 – Modeling the Data
7. Chapter 5: Designing a Data Model 8. Chapter 6: Using Data Model Advanced Features 9. Chapter 7: Creating Measures Using DAX 10. Chapter 8: Optimizing Model Performance 11. Part 3 – Visualizing the Data
12. Chapter 9: Creating Reports 13. Chapter 10: Creating Dashboards 14. Chapter 11: Enhancing Reports 15. Part 4 – Analyzing the Data
16. Chapter 12: Exposing Insights from Data 17. Chapter 13: Performing Advanced Analysis 18. Part 5 – Deploying and Maintaining Deliverables
19. Chapter 14: Managing Workspaces 20. Chapter 15: Managing Datasets 21. Part 6 – Practice Exams
22. Chapter 16: Practice Exams 23. Other Books You May Enjoy Appendix: Practice Question Answers

Appendix: Practice Question Answers

Here, you can find the answers to all of the practice questions found at the end of each chapter.

  • Chapter 1, Overview of Power BI and the PL-300 Exam
  • Chapter 2, Connecting to Data Sources
  • Chapter 3, Profiling the Data
  • Chapter 4, Cleansing, Transforming, and Shaping Data
  • Chapter 5, Designing a Data Model
  • Chapter 6, Using Data Model Advanced Features
  • Chapter 7, Creating Measures Using DAX
  • Chapter 8, Optimizing Model Performance
  • Chapter 9, Creating Reports
  • Chapter 10, Creating Dashboards
  • Chapter 11, Enhancing Reports
  • Chapter 12, Exposing Insights from Data
  • Chapter 13, Performing Advanced Analytics
  • Chapter 14, Managing Workspaces
  • Chapter 15, Managing Datasets
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