SQL for Data Analytics: Analyze data effectively, uncover insights and master advanced SQL for real-world applications
by Jun Shan, Haibin Li, Matt Goldwasser, Upom Malik, Benjamin Johnston
SQL for Data Analytics presents a practical focus on analyzing data, uncovering insights, and developing advanced SQL skills. Designed around real-world applications, it offers a useful resource for readers who want to strengthen their ability to work effectively with data through SQL.
About This Book
SQL for Data Analytics focuses on using SQL to analyze data effectively and support insight discovery.
The book addresses advanced SQL and its application to real-world data analytics tasks.
It is intended for readers seeking to develop practical SQL capabilities for working with data.
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