SQL for Data Analytics - Third Edition

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SQL for Data Analytics - Third Edition

SQL for Data Analytics


This eBook includes

Formats : PDF (Read Only)

Pages : 540

ISBN : 9781801817806

Edition : Third Edition

Language : English

About the Book

Book description

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

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

Book Description

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.

What you will learn

  • Use SQL to clean, prepare, and combine different datasets
  • Aggregate basic statistics using GROUP BY clauses
  • Perform advanced statistical calculations using a WINDOW function
  • Import data into a database to combine with other tables
  • Export SQL query results into various sources
  • Analyze special data types in SQL, including geospatial, date/time, and JSON data
  • Optimize queries and automate tasks
  • Think about data problems and find answers using SQL

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.

Basic familiarity with SQL (such as basic SELECT, WHERE, and GROUP BY clauses) as well as a good understanding of linear algebra, statistics, and PostgreSQL 14 are necessary to make the most of this SQL data analytics book.

SQL for Data Analytics - Third Edition

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Author Details

Packt Publishing

Packt Publishing

Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.

Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.

As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.

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