Data Cleaning with Power BI
eBook Details:
- Paperback: 340 pages
- Publisher: WOW! eBook (February 29, 2024)
- Language: English
- ISBN-10: 1805126407
- ISBN-13: 978-1805126409
eBook Description:
Data Cleaning with Power BI: The definitive guide to transforming dirty data into actionable insights. 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.
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.
- 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
By the end of the Data Cleaning with Power BI 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.
