# SQL for Data Analytics, 4th Edition

SQL for Data Analytics is a fourth-edition guide to applying SQL to practical analysis, with a focus on PostgreSQL datasets and business scenarios. It moves beyond basic queries into window functions, statistics, specialized data types, performance techniques, and a case study. The listing says basic SQL familiarity and college-level math knowledge are expected.

- [Original product page](https://best-deals.pro/product/sql-for-data-analytics-fourth-edition)
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- Market: US
- Language: en-US
- Currency: USD
- Category: Books, Music & Hobbies > Books, Music & Movies > Books & Comics
- Price: 37.99 USD
- Previous price: 49.99 USD
- Discount: 24%
- Price checked: 2026-11-14T05:50:21.156Z
- Rating: 4.6 / 5
- Reviews: 20

Prices and deal status are the latest recorded data, not a guarantee of availability. Confirm the price and availability with the store.

## At a glance

- Covers PostgreSQL analytics, from database setup and data transformation through aggregation and advanced query techniques.
- Topics include window functions, hypothesis testing, JSON and arrays, text, geospatial and time-series data, and query-plan optimization.
- Includes practical exercises, case studies, and a full analysis project, according to the listing.
- The listing says a print or Kindle purchase includes a free PDF eBook.

## Pros

- Broad coverage connects SQL querying with analytics tasks such as data preparation, trend analysis, statistics, and presenting findings.
- Includes Python-assisted data loading and workflow automation alongside SQL topics.
- The case-study approach is intended to link techniques to business analysis contexts.

## Specifications

### Publication details
- Edition: 4th ed.
- Publisher: Packt Publishing
- Publication date: November 21, 2025
- Language: English
- Print length: 336 pages
- ISBN-10: 1836646259
- ISBN-13: 978-1836646259
### Dimensions and installation
- Weight listed: 1.27 pounds
- Dimensions: 7.5 x 0.76 x 9.25 inches

## Before you buy

- The book is described as PostgreSQL-focused and assumes basic SQL familiarity plus college-level math knowledge. The free PDF claim applies to print or Kindle purchases, so confirm the selected format and its included materials.

## A good fit for

- Aspiring and early-career data analysts building on basic SQL skills.
- Data engineers, backend developers, business analysts, and students who want to use SQL for analysis.
- Readers interested in PostgreSQL topics such as window functions, time-series data, JSON, geospatial analysis, and statistical operations.

## Less suited to

- Complete SQL beginners who need a guide that starts without any assumed SQL familiarity.
- Readers seeking a database-platform-neutral reference, since the listing emphasizes PostgreSQL.

## Customer feedback

Aggregate ratings lean positive, with most ratings in the four- or five-star categories, but the supplied information contains no written review summaries. The limited rating evidence does not establish which topics readers liked or disliked, so use the detailed PostgreSQL-focused scope and stated prerequisites to judge fit.

## Frequently asked questions

### What level of SQL does this book assume?
The listing describes it as a step beyond basic SQL and says readers should already have basic SQL familiarity. It also names college-level math knowledge as an expected foundation.
### Which database does the book focus on?
The description centers the examples and datasets on PostgreSQL. Buyers wanting instruction for a different database should check whether its syntax and features are covered.
### What advanced subjects are included?
The contents describe window functions, statistical analysis, JSON and arrays, date and text data, geospatial analysis, time-series data, and performance topics including indexing and query-plan optimization.
### Does the purchase include a PDF eBook?
The listing claims that purchase of the print or Kindle book includes a free PDF eBook. Confirm the offer for the specific format before purchase.

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## Images

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