SQL for Data Analytics, Third Edition ( sách gia công)

Giới thiệu SQL for Data Analytics, Third Edition ( sách gia công)

Thể loại:Computers - Databases

Năm:2022

In lần thứ:3

Nhà xuát bản:Packt Publishing

Ngôn ngữ:english

Trang:540

Take your first steps to becoming a fully qualified data analyst by learning how to explore complex datasets.

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. 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.

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

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.