Data Cleaning with Power BI The definitive guide to the subtle art of transforming dirty data into actionable insights

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Data Cleaning with Power BI: The definitive guide to the subtle art of transforming dirty data into actionable insights by Gus Frazer
English | March 11, 2024 | ISBN: 1805126407 | 304 pages | MOBI | 17 Mb
Unlock the full potential of your data by mastering the art of cleaning, preparing, and transforming data with Power BI for smarter insights and data visualizations

Key FeaturesBest practices for using Power BI to connect, prepare, clean, and analyze multiple sources of dataCreate, clean, transform and carry out EDA (exploratory data analysis) using DAX, PowerQuery, and M languageApply the knowledge to tackle common data challenges for visualizations in Power BIBook Description
Microsoft Power BI has been a leading business intelligence tool for many years now, offering a range of powerful data cleaning and preparation options through its suite of tools including DAX, Power Query, and M language.
This book serves as a comprehensive guide to Power BI data cleaning, starting with an introduction to data quality and the importance of data cleaning. You'll learn the fundamentals of data cleaning, including common data challenges and best practices for handling them. You'll discover how to import and clean data with Query Editor, and transform data using M query language in Power BI. As you move ahead, you'll explore how to leverage Power BI's data modeling capabilities to clean your data and establish relationships that make analysis easy. In the later chapters, you will learn about the best practices for data cleaning and automating tasks with Power Automate. Finally, you'll discover how OpenAI and ChatGPT can make data cleaning in Power BI easier.
By the end of the book, you will have a comprehensive understanding of data cleaning concepts, techniques, and how to use Power BI and its tools to clean, transform and prepare your data for analysis and visualization.
What you will learnConnect to data sources using both import and DirectQuery optionsUse the Query Editor to apply data transformationsTransform your data using M query languageDesign clean optimized data models by designing relationships and DAX calculationsUse Power BI to carry out exploratory data analysisTackle the most common data challenges with best practicesExplore the benefits of using OpenAI and ChatGPT to simplify data cleaningWho This Book Is For
This book would be useful for data analysts, business intelligence professionals, business analysts, data scientists, and anyone else who needs to work with data on a regular basis.
Additionally, the book would be helpful for anyone who wants to gain a deeper understanding of data quality issues and best practices for data cleaning in Power BI.
Ideally if you have a basic knowledge of BI tools and concepts then this book will help you advance your skills in Power BI.
Table of ContentsIntroduction to Power BI Data CleaningUnderstanding data quality and why data cleaning is importantData cleaning fundamentals & key principlesMost common data challengesImporting Data Into Power BICleaning Data with Query EditorTransforming data with the M languageUsing data profiling for EDA (Exploratory Data Analysis)Advanced Data Cleaning TechniquesCreating custom functions in Power QueryM Query OptimisationData Modelling and Managing RelationshipsData Cleaning Best PracticesAutomating data cleaning tasks with Power AutomateMaking life easier with OpenAI

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