Job Ready SQL

  • 5h
  • Haythem Balti, Kimberly A. Weiss
  • John Wiley & Sons (US)
  • 2023

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.

About the Author

KIMBERLY A. WEISS is Senior Manager of Curriculum Operations for Wiley Edge. She has extensive experience developing interactive instructional content for a wide variety of learners.

HAYTHEM BALTI, PhD, is Associate Dean at Wiley Edge (formerly mthree), a software development and data science education platform.

In this Book

  • Introduction
  • Exploring Relational Databases and SQL
  • Applying Normalization
  • Creating Entity-Relationship Diagrams
  • Pulling it all Together—Normalizing a Vinyl Record Shop Database
  • Working with MySQL Server
  • Diving into SQL
  • Database Management Using DDL
  • Pulling it all Together—Building the Vinyl Record Shop Database
  • Applying CRUD—Basic Data Management and Manipulation
  • Working with SELECT Queries
  • Adding JOIN Queries
  • Sorting and Limiting Query Results
  • Grouping and Aggregates
  • Pulling it all Together—Adding Data to the Vinyl Record Shop Database
  • Diving into Advanced SQL Topics
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