Job Ready SQL
eBook - ePub

Job Ready SQL

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

About this book

Learn the most important SQL skills and apply them in your job—quickly and efficiently!

SQL (Structured Query Language) is the modern language that almost every relational database system supports for adding data, retrieving data, and modifying data in a database. Although basic visual tools are available to help end-users input common commands, data scientists, business intelligence analysts, Cloud engineers, Machine Learning programmers, and other professionals routinely need to query a database using SQL.

Job Ready SQL provides you with the foundational skills necessary to work with data of any kind. Offering a straightforward 'learn-by-doing' approach, this concise and highly practical guide teaches you all the basics of SQL so you can apply your knowledge in real-world environments immediately. Throughout the book, each lesson includes clear explanations of key concepts and hands-on exercises that mirror real-world SQL tasks.

  • Teaches the basics of SQL database creation and management using easy-to-understand language
  • Helps readers develop an understanding of fundamental concepts and more advanced applications such as data engineering and data science
  • Discusses the key types of SQL commands, including Data Definition Language (DDL) commands and Data Manipulation Language (DML) commands
  • Includes useful reference information on querying SQL-based databases

Job Ready SQL is a must-have resource for students and working professionals looking to quickly get up to speed with SQL and take their relational database skills to the next level.

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Yes, you can access Job Ready SQL by Kimberly A. Weiss,Haythem Balti in PDF and/or ePUB format, as well as other popular books in Computer Science & Programming in SQL. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2023
Print ISBN
9781394181032
eBook ISBN
9781394181056

Table of contents

  1. Cover
  2. Table of Contents
  3. Title Page
  4. Introduction
  5. Part I: Introduction to Database Concepts
  6. Part II: Applying SQL
  7. Part III: Data Management and Manipulation
  8. Appendix A: Bonus Lesson on Applying SQL with Python
  9. Appendix B: SQL Quick Reference
  10. Index
  11. Copyright
  12. Acknowledgments
  13. About the Authors
  14. About the Technical Writer
  15. About the Technical Editor
  16. End User License Agreement