SQL FOR DATA ANALYSTS. CREATING DATASETS AND WRITING QUERIES

Discover the power of SQL and use it for effective data analysis. This book is the perfect guide for analysts who want to create datasets and write queries themselves to obtain the information they need. Learn how to quickly process large amounts of data and design efficient queries.

• Efficient SQL queries: Learn how to write fast-running queries for large datasets.
• Independent creation of datasets: Design and extract the datasets you need without relying on others.
• Exploratory data analysis: Discover techniques for data analysis and draw conclusions from the data.
• Advanced SQL queries: Learn about more difficult topics such as window queries and aggregate functions.
• Creation of tables and views: Learn how to store query results in tables and views.
• Design of datasets: Create datasets for machine learning.

The book "SQL for Data Analysts" is a practical guide that will help you master SQL and use it for effective data analysis. You will learn how to create analytical datasets and write the code needed to obtain the desired result. You will learn the SQL syntax and the principles for creating fast-running queries for large datasets. You will learn how to apply SQL statements, use aggregate and window functions, and create datasets for analytical reports and machine learning.

Helion, the publisher of this book, is a renowned publishing house specializing in publications in the fields of IT and business. Thanks to many years of experience and cooperation with experts, Helion provides readers with valuable and up-to-date information. Helion books are valued for their quality, practical approach and accessible language. When you choose a book from Helion Publishing, you can be sure that you are receiving solid knowledge and practical skills.

This book is intended for data analysts who want to get to know the process of creating an analytical dataset well and independently write the code needed to obtain the desired result. It presents the SQL syntax and the principles for creating fast-running queries for large datasets. The rules for using individual SQL statements, using aggregate and window functions, as well as techniques for exploratory data analysis and creating datasets for analytical reports are explained in detail. More difficult topics such as advanced SQL queries or the creation of datasets for machine learning are also discussed. The book also contains expert advice on drawing conclusions based on data and numerous exercises to facilitate learning.