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.
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.
Reference price: $49.99
Price checked: Nov 14, 2026
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Pros and cons
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.
Technical specifications
9 specifications| Edition | 4th ed. |
|---|---|
| Publisher | Packt Publishing |
| Publication date | November 21, 2025 |
| Language | English |
| Print length | 336 pages |
| ISBN-10 | 1836646259 |
| ISBN-13 | 978-1836646259 |
| Weight listed | 1.27 pounds |
|---|---|
| Dimensions | 7.5 x 0.76 x 9.25 inches |
What to know before buying
- 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.
Who is it for?
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 reviews on Amazon
- 5 stars
70% 70% - 4 stars
26% 26% - 3 stars
0% 0% - 2 stars
4% 4% - 1 star
0% 0%
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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