Book Image

SQL for Data Analytics - Third Edition

By : Jun Shan, Matt Goldwasser, Upom Malik, Benjamin Johnston
Book Image

SQL for Data Analytics - Third Edition

By: Jun Shan, Matt Goldwasser, Upom Malik, Benjamin Johnston

Overview of this book

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.
Table of Contents (11 chapters)
9. Using SQL to Uncover the Truth: A Case Study


Data collection and analysis is an old practice going back to the beginning of civilization. Records from ancient Egyptian papyrus suggest that pharaohs collected census information from villages, possibly to determine the number of soldiers that could be enlisted for the war. However, it was after the arrival of modern computers that the art of data analytics became a significant phenomenon that is changing people's lives every day.

This book, as its name suggests, teaches you how to use Structured Query Language (SQL) for data analytics. SQL is the tool that you will be focusing on in the rest of the book. But before diving into SQL, this chapter will provide an overview of data analytics. You will be introduced to fundamental concepts such as the definition and type of statistics and different methods of statistics, which will lay the foundation for the concepts that future chapters will be based on, define the purpose of the SQL operations that you will learn...