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SQL for Product Managers in the Age of AI: A Practical Guide to Product Analytics and AI-Assisted SQL
Paperback
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ISBN13: 9798180993236
Publisher: Independently Published
Published: Jun 10 2026
Pages: 576
Weight: 2.17
Height: 1.17 Width: 7.00 Depth: 10.00
Language: English
Publisher: Independently Published
Published: Jun 10 2026
Pages: 576
Weight: 2.17
Height: 1.17 Width: 7.00 Depth: 10.00
Language: English
SQL for Product Managers in the Age of AI: A Practical Guide to Product Analytics and AI-Assisted SQL
Data is at the center of modern product management, but knowing how to turn data into actionable insights is what separates great product managers from the rest. This practical guide shows you how to use SQL, product analytics, and AI-powered tools to make smarter product decisions with confidence.
Data is at the center of modern product management, but knowing how to turn data into actionable insights is what separates great product managers from the rest. This practical guide shows you how to use SQL, product analytics, and AI-powered tools to make smarter product decisions with confidence.
Whether you're a product manager, aspiring PM, business analyst, startup founder, or growth professional, this book provides a step-by-step path to understanding the metrics that drive successful products. You'll learn how to write and understand SQL queries, analyze user behavior, measure retention and churn, build funnels, evaluate experiments, track revenue metrics, and create dashboards that communicate insights effectively.
The book also explores the growing role of artificial intelligence in analytics. You'll discover how AI can help generate SQL queries, explain complex logic, speed up analysis, and improve productivity while learning how to validate results and avoid common mistakes. Through practical examples, real-world scenarios, and hands-on exercises, you'll develop the skills needed to work confidently with data in today's AI-driven environment. Why Choose This Book?
Learn SQL specifically from a product management perspective
Understand key product metrics, retention, funnels, experimentation, and revenue analytics
Discover how to use AI tools to generate, explain, and improve SQL queries
Follow practical examples and real-world product analytics case studies
Build data-driven decision-making skills that apply immediately in your career
Create dashboards, reports, and workflows used by modern product teams If you want to become a more analytical product manager, make better decisions using data, and confidently leverage AI in your daily workflow, this book provides the knowledge and practical skills to help you get there. Start reading today and take your product analytics expertise to the next level.
The book also explores the growing role of artificial intelligence in analytics. You'll discover how AI can help generate SQL queries, explain complex logic, speed up analysis, and improve productivity while learning how to validate results and avoid common mistakes. Through practical examples, real-world scenarios, and hands-on exercises, you'll develop the skills needed to work confidently with data in today's AI-driven environment. Why Choose This Book?
Learn SQL specifically from a product management perspective
Understand key product metrics, retention, funnels, experimentation, and revenue analytics
Discover how to use AI tools to generate, explain, and improve SQL queries
Follow practical examples and real-world product analytics case studies
Build data-driven decision-making skills that apply immediately in your career
Create dashboards, reports, and workflows used by modern product teams If you want to become a more analytical product manager, make better decisions using data, and confidently leverage AI in your daily workflow, this book provides the knowledge and practical skills to help you get there. Start reading today and take your product analytics expertise to the next level.
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