Matt Goldwasser

Benjamin Johnston

Upom Malik

Understanding and finding patterns in data has become one of the most important ways to improve business decisions. If you know the basics of SQL, but don't know how to use it to gain the most effective business insights from data, this book is for you.

SQL for Data Analytics helps you build the skills to move beyond basic SQL and instead learn to spot patterns and explain the logic hidden in data. You'll discover how to explore and understand data by identifying trends and unlocking deeper insights. You'll also gain experience working with different types of data in SQL, including time-series, geospatial, and text data. Finally, you'll learn how to increase your productivity with the help of profiling and automation.

By the end of this book, you'll be able to use SQL in everyday business scenarios efficiently and look at data with the critical eye of an analytics professional.

Please note: if you are having difficulty loading the sample datasets, there are new instructions uploaded to the GitHub repository. The link to the GitHub repository can be found in the book's preface.

Packt Publishing

SQL for Data Analytics: Perform fast and efficient data analysis with the power of SQL

ยังใหม่กับ Storytel ใช่ไหม?

เข้าสู่ระบบด้วย...

เข้าสู่ระบบ

มีบัญชีผู้ใช้อยู่แล้วใช่หรือไม่

สร้างบัญชี