如果你是学习SQL，这个书是必不可少的，我知道不少美国数据科学SQL基础拿它来做入门教材。当然进阶也有进阶的书籍但这个是入门。
它用的主要软件是 Postgres SQL，这个软件一般是中小企业用的居多，
所以它适合商业分析，数据库数据获取等，非常实用。
我个人是全书读完并且用它的案例，
因为SQL的语法大同小异，不同的数据库软件是细微的差别，一通则百通。

如有同学在学习过程中遇到问题，可以在这个帖子下面提问我们一起交流解决问题。

以下详细资料

SQL for Data Analytics: Harness the power of SQL to extract insights from data, 3rd Edition







Key Features

• Master each concept through practical exercises and activities
• Discover various statistical techniques to analyze your data
• Implement everything you’ve learned on a real-world case study to uncover valuable insights
  

Book Description

Every day, businesses operate around the clock, and a huge amount of data is generated at a rapid pace. This book helps you analyze this data and identify key patterns and behaviors that can help you and your business understand your customers at a deep, fundamental level.

SQL for Data Analytics, Third Edition is a great way to get started with data analysis, showing how to effectively sort and process information from raw data, even without any prior experience.

You will begin by learning how to form hypotheses and generate descriptive statistics that can provide key insights into your existing data. As you progress, you will learn how to write SQL queries to aggregate, calculate, and combine SQL data from sources outside of your current dataset. You will also discover how to work with advanced data types, like JSON. By exploring advanced techniques, such as geospatial analysis and text analysis, you will be able to understand your business at a deeper level. Finally, the book lets you in on the secret to getting information faster and more effectively by using advanced techniques like profiling and automation.

By the end of this book, you will be proficient in the efficient application of SQL techniques in everyday business scenarios and looking at data with the critical eye of analytics professional.

What you will learn

• Use SQL to clean, prepare, and combine different datasets
• Aggregate basic statistics using GROUP BY clauses
• Perform advanced statistical calculations using a WINDOW function
• Import data into a database to combine with other tables
• Export SQL query results into various sources
• Analyze special data types in SQL, including geospatial, date/time, and JSON data
• Optimize queries and automate tasks
• Think about data problems and find answers using SQL
  

Who this book is for

If you're a database engineer looking to transition into analytics or a backend engineer who wants to develop a deeper understanding of production data and gain practical SQL knowledge, you will find this book useful. This book is also ideal for data scientists or business analysts who want to improve their data analytics skills using SQL.

Basic familiarity with SQL (such as basic SELECT, WHERE, and GROUP BY clauses) as well as a good understanding of linear algebra, statistics, and PostgreSQL 14 are necessary to make the most of this SQL data analytics book.

Table of Contents

• Understanding and Describing Data
• The Basics of SQL for Analytics
• SQL for Data Preparation
• Aggregate Functions for Data Analysis
• Window Functions for Data Analysis
• Importing and Exporting Data
• Analytics Using Complex Data Types
• Performant SQL
• Using SQL to Uncover the Truth – a Case Study
  

Product details

• Publisher ‏ : ‎ Packt Publishing; 3rd ed. edition (August 29, 2022)
• Language ‏ : ‎ English
• Paperback ‏ : ‎ 540 pages
• ISBN-10 ‏ : ‎ 180181287X
• ISBN-13 ‏ : ‎ 978-1801812870
• Item Weight ‏ : ‎ 2.05 pounds
• Dimensions ‏ : ‎ 9.25 x 7.5 x 1.11 inches