SQL for Data Analytics - Third Edition: Harness the power of SQL to extract insights from data

Take your first steps to becoming a fully qualified data analyst by learning how to explore complex datasets

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.

開始踏上成為合格數據分析師的第一步，學習如何探索複雜的數據集。

主要特點：
- 通過實際練習和活動掌握每個概念。
- 發現各種統計技術來分析數據。
- 在真實案例研究中應用所學，揭示有價值的見解。

書籍描述：
每天，企業全天候運營，大量數據以快速的速度生成。本書幫助您分析這些數據，識別關鍵模式和行為，幫助您和您的企業深入、基礎地了解客戶。

《SQL for Data Analytics, Third Edition》是開始進行數據分析的好方法，展示如何有效地對原始數據進行排序和處理，即使沒有任何先前經驗。

您將首先學習如何提出假設並生成描述性統計，這些統計可以為您現有的數據提供關鍵見解。隨著學習的進展，您將學習如何編寫SQL查詢，從當前數據集之外的來源聚合、計算和結合SQL數據。您還將發現如何處理高級數據類型，如JSON。通過探索高級技術，如地理空間分析和文本分析，您將能夠更深入地了解您的業務。最後，本書將揭示使用高級技術（如分析和自動化）更快、更有效地獲取信息的秘訣。

通過閱讀本書，您將能夠熟練地應用SQL技術在日常業務場景中，並以數據分析專業人員的眼光查看數據。

您將學到什麼：
- 使用SQL清理、準備和結合不同的數據集。
- 使用GROUP BY子句聚合基本統計數據。
- 使用WINDOW函數執行高級統計計算。
- 將數據導入數據庫以與其他表結合。
- 將SQL查詢結果導出到各種源。
- 分析SQL中的特殊數據類型，包括地理空間、日期/時間和JSON數據。
- 優化查詢並自動化任務。
- 通過SQL思考數據問題並找到答案。

本書適合對象：
如果您是一名想轉向分析的數據庫工程師，或者是一名希望深入了解生產數據並獲得實用SQL知識的後端工程師，本書對您很有用。本書還非常適合希望使用SQL提高數據分析技能的數據科學家或業務分析師。

為了充分利用這本SQL數據分析書，您需要基本熟悉SQL（如基本的SELECT、WHERE和GROUP BY子句），以及對線性代數、統計學和PostgreSQL 14有良好的理解。