Analyze data effectively, uncover insights and master advanced SQL for real-world applications

$49.99

By Jun Shan , Benjamin Johnston , Haibin Li , Matt Goldwasser & Upom Malik

Pages 336

Published in Nov 2025

Product Type Paperback

Edition 4th Edition

ISBN 9781836646259

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What do you get with Print?

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Key Benefits

Solve real business problems with advanced SQL techniques

Work with time-series, geospatial, and text data using PostgreSQL

Build job-ready data analysis skills with hands-on SQL projects

Purchase of the print or Kindle book includes a free PDF eBook

What You Will Learn

Write SQL Queries to explore and analyze structured data.

Use JOINs, subqueries, views, and CTEs to build analytics-ready datasets

Apply window functions to identify trends, patterns, and cohort behavior

Perform statistical analysis and hypothesis testing directly in SQL

Analyze JSON, arrays, text, geospatial, and time-series data

Improve SQL performance with indexing strategies and query plan optimization

Load data with Python and automate analytics workflows

Complete a full case study simulating a real-world data analysis project

Who Is This Book For?

This book is for aspiring and early-career data analysts, data engineers, backend developers, business analysts, and students who want to apply SQL to real-world data analytics. You should have basic SQL familiarity and college-level math knowledge, along with the desire to advance toward analytics-grade SQL, data transformation, pattern discovery, and business insight generation.

Book Description

SQL remains one of the most essential tools for modern data analysis and mastering it can set you apart in a competitive data landscape. This book helps you go beyond basic query writing to develop a deep, practical understanding of how SQL powers real-world decision-making. SQL for Data Analytics, Fourth Edition, is for anyone who wants to go beyond basic SQL syntax and confidently analyze real-world data. Whether you're trying to make sense of production data for the first time or upgrading your analytics toolkit, this book gives you the skills to turn data into actionable outcomes. You'll start by creating and managing structured databases before advancing to data retrieval, transformation, and summarization. From there, you’ll take on more complex tasks such as window functions, statistical operations, and analyzing geospatial, time-series, and text data. With hands-on exercises, case studies, and detailed guidance throughout, this book prepares you to apply SQL in everyday business contexts, whether you're cleaning data, building dashboards, or presenting findings to stakeholders. By the end, you'll have a powerful SQL toolkit that translates directly to the work analysts do every day. *Email sign-up and proof of purchase required

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