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SQL for Data Analytics (3rd Edition)

Author: Jun Shan
Binding: Paperback
Paper Quality: Black White Paper
Category: Data Science / SQL / Programming
Recommended For: Data analysts, computer science students, business analysts, and anyone interested in learning how to use SQL for data-driven insights.

Key Points

  • Real-World Focused – Learn SQL by solving real-world data problems and performing advanced data analysis tasks.

  • Covers Core to Advanced SQL – Topics include subqueries, joins, window functions, data wrangling, and performance optimization.

  • Tailored for Analytics – Designed specifically for data analytics rather than just database management.

  • Tools and Platforms – Teaches SQL using real datasets and introduces tools like PostgreSQL and cloud databases.

  • Updated 3rd Edition – Incorporates the latest industry practices and examples reflecting current analytical trends.

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