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Data Cleaning with Power BI

You're reading from Data Cleaning with Power BI

Product type Book

Published in Feb 2024

Publisher Packt

ISBN-13 9781805126409

Pages 340 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Gus Frazer

Table of Contents (23) Chapters

Preface

Part 1 – Introduction and Fundamentals

Chapter 1: Introduction to Power BI Data Cleaning

Chapter 2: Understanding Data Quality and Why Data Cleaning is Important

Chapter 3: Data Cleaning Fundamentals and Principles

Chapter 4: The Most Common Data Cleaning Operations

Part 2 – Data Import and Query Editor

Chapter 5: Importing Data into Power BI

Chapter 6: Cleaning Data with Query Editor

Chapter 7: Transforming Data with the M Language

Chapter 8: Using Data Profiling for Exploratory Data Analysis (EDA)

Part 3 – Advanced Data Cleaning and Optimizations

Chapter 9: Advanced Data Cleaning Techniques

Chapter 10: Creating Custom Functions in Power Query

Chapter 11: M Query Optimization

Chapter 12: Data Modeling and Managing Relationships

Part 4 – Paginated Reports, Automations, and OpenAI

Chapter 13: Preparing Data for Paginated Reporting

Chapter 14: Automating Data Cleaning Tasks with Power Automate

Chapter 15: Making Life Easier with OpenAI

Assessments

Index

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Putting it together

As you reach the end of this book, it’s important to reflect on the journey you have been on since the first chapter. You’ve embarked on a transformative journey through the intricate realm of cleaning and preparing data with Power BI.

Consider this not as an endpoint, but a stepping stone into a vast landscape of possibilities. The techniques and insights you’ve learned in this book will serve as the foundation for your ongoing exploration into the dynamic world of data analytics.

Throughout this book, you were introduced to a number of transformation concepts as well as functions that can be used to clean and prepare data. You were introduced to theory on how to approach data preparation, how to bring data into Power BI, and how to prepare that data. Within the chapters, you found links to resources to continue growing your knowledge. Outside of this book, though, I’d recommend you build upon this foundation by focusing on the...

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Authors (1)

Gus Frazer

Gus Frazer is a seasoned analytics consultant who focuses on business intelligence solutions. With over eight years of experience working for the two market-leading platforms, Power BI (Microsoft) and Tableau, he has amassed a wealth of knowledge and expertise. He also has experience in helping hundreds of customers to drive their digital and data transformations, scope data requirements, drive actionable insights, and most important of all, clean data ready for analysis.

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