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Data Cleaning with Power BI
Data Cleaning with Power BI

Data Cleaning with Power BI: The definitive guide to transforming dirty data into actionable insights

By Gus Frazer
Can$37.99 Can$25.99
Book Feb 2024 340 pages 1st Edition
eBook
Can$37.99 Can$25.99
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eBook
Can$37.99 Can$25.99
Print
Can$46.99
Subscription
Free Trial

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Product Details


Publication date : Feb 29, 2024
Length 340 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781805126409
Category :
Concepts :
Table of content icon View table of contents Preview book icon Preview Book

Data Cleaning with Power BI

Part 1 – Introduction and Fundamentals

In this introductory part, you will embark on a foundational exploration of Power BI data cleaning, discovering the essential tools, understanding the significance of data quality, and grasping fundamental principles for effective data cleaning. You will gain hands-on experience in identifying and tackling common data challenges, setting the stage for a robust understanding of Power BI’s data cleaning processes.

This part has the following chapters:

  • 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
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Key benefits

  • Implement best practices for connecting, preparing, cleaning, and analyzing multiple sources of data using Power BI
  • Conduct exploratory data analysis (EDA) using DAX, PowerQuery, and the M language
  • Apply your newfound knowledge to tackle common data challenges for visualizations in Power BI
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

Microsoft Power BI offers a range of powerful data cleaning and preparation options through tools such as DAX, Power Query, and the M language. However, despite its user-friendly interface, mastering it can be challenging. Whether you're a seasoned analyst or a novice exploring the potential of Power BI, this comprehensive guide equips you with techniques to transform raw data into a reliable foundation for insightful analysis and visualization. This book serves as a comprehensive guide to data cleaning, starting with data quality, common data challenges, and best practices for handling data. You’ll learn how to import and clean data with Query Editor and transform data using the M query language. As you advance, you’ll explore Power BI’s data modeling capabilities for efficient cleaning and establishing relationships. Later chapters cover best practices for using Power Automate for data cleaning and task automation. 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 for effective data preparation.

What you will learn

Connect to data sources using both import and DirectQuery options Use the Query Editor to apply data transformations Transform your data using the M query language Design clean and optimized data models by creating relationships and DAX calculations Perform exploratory data analysis using Power BI Address the most common data challenges with best practices Explore the benefits of using OpenAI, ChatGPT, and Microsoft Copilot for simplifying data cleaning

What do you get with eBook?

Product feature icon Instant access to your Digital eBook purchase
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : Feb 29, 2024
Length 340 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781805126409
Category :
Concepts :

Table of Contents

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

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