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Data Cleaning with Power BI: The definitive guide to transforming dirty data into actionable insights - Paperback
$56.14
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Cindi Book items have a flat $9.99 shipping charge. Shopify Collective items use shipping rates set by the supplier. Orders containing items from different fulfillment sources may include more than one shipping charge. Your full shipping total is shown at checkout before payment.
Return eligibility is subject to the full policy. Opened, read, or unsealed books with broken seals or visible wear are final sale. Digital downloads, gift cards, and personalized products are non-refundable. Original shipping charges are not refunded for standard returns. Contact us within 7 days of delivery about damaged, defective, or incorrect items.
by Gus Frazer (Author)
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 Features:
- 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
Book 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
Who this book is for:
If you're a data analyst, business intelligence professional, business analyst, data scientist, or anyone who works with data on a regular basis, this book is for you. It's a useful resource for anyone who wants to gain a deeper understanding of data quality issues and best practices for data cleaning in Power BI. If you have a basic knowledge of BI tools and concepts, this book will help you advance your skills in Power BI.
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Orders ship within the United States. Cindi Book branded titles typically arrive in 5–9 business days, including 0–2 business days of handling and 5–7 business days in transit. Supplier-fulfilled items typically arrive in 8–11 business days, including 1–3 business days of handling and 7–8 business days in transit. Business days are Monday–Friday, excluding U.S. federal holidays. Delivery estimates are not guarantees. Cindi Book items have a flat $9.99 shipping charge. Shopify Collective items use shipping rates set by the supplier. Orders containing items from different fulfillment sources may include more than one shipping charge. Your full shipping total is shown at checkout before payment.
Returns & Refunds
Standard U.S. returns are accepted for eligible new, unopened items within 30 days of carrier delivery. Returns are by mail. Customers are responsible for standard return shipping, there is no restocking fee, and standard exchanges are not offered. Once an approved return is received and inspected, the refund is issued to the original payment method within 5 business days. Damaged, defective, or incorrect items are handled at no return-shipping cost to the customer.
Return eligibility is subject to the full policy. Opened, read, or unsealed books with broken seals or visible wear are final sale. Digital downloads, gift cards, and personalized products are non-refundable. Original shipping charges are not refunded for standard returns. Contact us within 7 days of delivery about damaged, defective, or incorrect items.
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