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


Throughout SQL for Data Analytics, Third Edition, you have learned a range of new skills (including basic descriptive statistics, SQL commands, and importing and exporting data in PostgreSQL) as well as more advanced methods to optimize and automate SQL (such as functions and triggers). In this final chapter of this workshop, you will combine these new skills with the scientific method and critical thinking to solve a real-world problem and determine the cause of an unexpected drop in sales.

This chapter provides a case study and will help you build your confidence in applying your new SQL skillset to your own problem domains. To solve the problem presented in this case study, you will use the complete range of your newly developed skills, from using basic SQL searches to filtering out the available information to aggregating and joining multiple sets of information and using windowing methods to group the data in a logical manner. By completing case studies such as...