SQL for Data Analytics, Third Edition: Harness the power of SQL to extract insights from data by Jun Shan, Matt Goldwasser, Upom Malik, Benjamin Johnston ISBN 9781801817806, 1801817804 instant download

SQL for Data Analytics, Third Edition: Harness the power of SQL to extract insights from data by Jun Shan, Matt Goldwasser, Upom Malik, Benjamin Johnston ISBN 9781801817806, 1801817804 instant download

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
 
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.
  
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 as well as a good understanding of linear algebra, statistics, and PostgreSQL 14 are necessary to make the make the most of this SQL book.