Head First SQL: A Learner's Guide to Querying and Managing Data 2nd Edition

Head First SQL: A Learner's Guide to Querying and Managing Data 2nd Edition book cover

Head First SQL: A Learner’s Guide to Querying and Managing Data 2nd Edition

Author(s): Kimberly Fessel (Author)

  • Publisher Finelybook 出版社: O’Reilly Media
  • Publication Date 出版日期: June 30, 2026
  • Edition 版本: 2nd
  • Language 语言: English
  • Print length 页数: 738 pages
  • ISBN-10: 1098163656
  • ISBN-13: 9781098163655

Book Description

What will you learn from this book?

Do you have an abundance of data but don’t know how to make sense of it? Do you want to gain useful insights from your data, but you’re not sure where to begin? Mining data is a vital, well-paying skill, and SQL provides the most fundamental way to query and manage data. But learning SQL can be intimidating. This thoroughly revised book teaches you SQL fundamentals in a painless and enjoyable manner. With the Head First series’ hands-on, conversational style, you’ll quickly grasp SQL concepts, then move to intermediate topics, including subqueries and joins. You’ll gain the knowledge, skills, and confidence necessary to get the most out of your data with SQL.

Why does this book look so different?

If you’ve read a Head First book, you know what to expect: a visually rich format designed for the way your brain works. If you haven’t, you’re in for a treat. With this book, you’ll learn about SQL through a multisensory experience that engages your mind―rather than a text-heavy approach that puts you to sleep.

Editorial Reviews

Editorial Reviews

About the Author

Kimberly Fessel is a data scientist, educator, and founder of Dr Kim Data, a consultancy focused on practical data education and machine learning solutions. With over a decade of teaching experience across universities, corporate settings, and bootcamps, she is known for making complex topics accessible through visual, hands-on instruction.

She also runs a YouTube channel with 20,000+ subscribers where she teaches Python and data science concepts. In her consulting work, she helps organizations clean, integrate, and apply data effectively. She holds a Ph.D. in Applied Mathematics from Rensselaer Polytechnic Institute and enjoys rollerblading in her free time.

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PDF, EPUB | 208 MB | 2026-06-19

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