This book focuses on SQL for analytics and it is primarily intended for a training or educational environment in a College, University, or technical school. It contains SQL code that will be used by a professional data analyst or data scientist to convert data to information. Given the importance of SQL not only in operational databases but also in data warehouses, online analytical processing cubes (OLAP), data mining, reporting applications and even in Hadoop distributions with Hive, one understands that SQL is a must have tool in the belt of any data professional irrespective of data technology or operational platform. This book is not intended for database or system administrators and as such it does not contain DDL (data definition language) statements to create logins, backups, functions, etc. A professional who wants to become a system administrator should look at a different book. This one concentrates specifically on SQL for data analysis. All the examples have a business purpose such as inventory replenishment, order reporting, shipping calculations, customer segmentation, cycle-time calculations and a myriad of other business related topics. As such, this book will be a very good fit for an MIS class in a business school. To that purpose it contains 307 exercises in its 32 chapters which the student can complete during class time. It also contains ten questions after each chapter which the instructor can use for in class discussions or test generation. Finally, it contains sixty-two case studies, two at the end of each chapter, for additional work as homework or for sharpening the skills learned in each chapter. A fundamental principle from the author of this book is that there should be no software to buy or complex installations on database servers to use this book. The instructor should and will be able to work independently of any IT departments in the College, University or other school. The student will simply download the free SQL Servel³.