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Data Cleaning with Power BI

You're reading from   Data Cleaning with Power BI The definitive guide to transforming dirty data into actionable insights

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Product type Paperback
Published in Feb 2024
Publisher
ISBN-13 9781805126409
Length 340 pages
Edition 1st Edition
Languages
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Author (1):
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Gus Frazer Gus Frazer
Author Profile Icon Gus Frazer
Gus Frazer
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Table of Contents (23) Chapters Close

Preface 1. Part 1 – Introduction and Fundamentals FREE CHAPTER
2. Chapter 1: Introduction to Power BI Data Cleaning 3. Chapter 2: Understanding Data Quality and Why Data Cleaning is Important 4. Chapter 3: Data Cleaning Fundamentals and Principles 5. Chapter 4: The Most Common Data Cleaning Operations 6. Part 2 – Data Import and Query Editor
7. Chapter 5: Importing Data into Power BI 8. Chapter 6: Cleaning Data with Query Editor 9. Chapter 7: Transforming Data with the M Language 10. Chapter 8: Using Data Profiling for Exploratory Data Analysis (EDA) 11. Part 3 – Advanced Data Cleaning and Optimizations
12. Chapter 9: Advanced Data Cleaning Techniques 13. Chapter 10: Creating Custom Functions in Power Query 14. Chapter 11: M Query Optimization 15. Chapter 12: Data Modeling and Managing Relationships 16. Part 4 – Paginated Reports, Automations, and OpenAI
17. Chapter 13: Preparing Data for Paginated Reporting 18. Chapter 14: Automating Data Cleaning Tasks with Power Automate 19. Chapter 15: Making Life Easier with OpenAI 20. Assessments 21. Index 22. Other Books You May Enjoy

Preface

In the ever-evolving landscape of data-driven decision-making, Microsoft Power BI stands as a stalwart, offering a suite of robust tools to harness the potential hidden within raw data. However, amid the plethora of features, the process of data cleaning often becomes a daunting hurdle for many users. In this transformative guide, we delve into the heart of data cleaning with Power BI, demystifying the complexities that often leave users perplexed and frustrated.

Despite the wealth of capabilities that Power BI provides, countless individuals find themselves grappling with the intricacies of preparing their data effectively. This book aims to bridge the gap between the potential of Power BI and the stumbling blocks that impede users from harnessing its full capabilities. The journey begins with an exploration of data quality and the pivotal role of data cleaning, unraveling the mysteries that make this process seem formidable. It navigates through the fundamentals, addressing common challenges with clarity and offering practical insights to streamline your data preparation journey.

As we guide you through the intricacies of Query Editor, the M language, and data modeling, you will discover the simplicity beneath the surface complexities. The book not only equips you with essential skills but also empowers you to establish relationships within your data, transforming it into a cohesive foundation for insightful analysis. Furthermore, our exploration of best practices and the integration of Power Automate will elevate your proficiency, enabling you to automate tasks seamlessly.

This book is not just a manual; it is a roadmap to demystify the art of data cleaning in Power BI. It goes beyond the technicalities, instilling confidence in you to embark on your data-cleaning journey with assurance. In an era where data reigns supreme, this guide is not just about learning the tools; it’s about conquering the challenges that often stifle progress. By the time you reach the final chapters, the synergy of your newfound knowledge and the innovative collaboration with OpenAI and ChatGPT will redefine your approach to data cleaning, making it an intuitive and empowering experience.

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