G:\book\Learn SQL in a Month of Lunches, 1st Edition (Final Release)
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English | 2025 | ISBN: 1633438570 | 306 pages | True PDF | 33.17 MB

Quickly unlock the power of SQL to access and manage your data with ease! This book teaches you the fundamentals of SQL through 24 straightforward lessons, helping you craft queries, solve common issues, and take control of your business data—no prior programming experience required.

In Learn SQL in a Month of Lunches, you’ll gain essential SQL skills, including how to:

  • Write effective SQL queries from scratch
  • Extract just the data you need from large datasets
  • Filter, sort, and group data effortlessly
  • Learn basic data manipulation techniques
  • Confidently create, update, and delete information

SQL (Structured Query Language) is the go-to tool for retrieving targeted data from vast relational databases. If you’re using tools like Excel, Tableau, or Power BI to analyze business data, chances are you’ve already encountered SQL. The good news? It’s simpler than it seems. With just a few concise lessons, you’ll learn how to write your own SQL queries, improve existing ones, and add an invaluable new skill to your arsenal.

This hands-on guide is designed for practical learning, with each chapter offering real-world exercises and easy-to-follow examples. Written by SQL expert Jeff Iannucci, who brings over 25 years of experience, the book delivers insights clearly and accessibly, ensuring you can apply your knowledge right away.

Bonus: Purchase of the physical book includes a free eBook (in PDF and ePub formats) from Manning Publications.

Why SQL matters

For decades, SQL has been the standard language for communicating with relational databases. While some programming languages can be intimidating to learn, SQL stands out for its straightforward syntax and readability. Mastering its powerful features doesn’t require a background in tech or data science. By learning SQL, business analysts can produce superior reports, discover actionable insights, and navigate complex databases independently with confidence

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