Bestseller

Data Mining in 20 Minutes: (Coffee Book Series)

4.1 average rating

82 sold this month

87 wishlist adds

276 ratings

August 30, 2024 979-8337862644 Books, Computers & Technology, Web Development & Design

Key Highlights

Integrates structured workflows and optimization techniques to boost technical efficiency.

An authoritative guide detailing emerging trends, offering valuable expertise for professionals seeking to stay ahead in their field.

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Key Features

Technical Insights

Learn how visuals impacts coding mechanics and how to design for maximum engagement.

Analytics Implementation

Step-by-step guides to implementing analytics in your games to track player behavior.

Data-Driven Decisions

How to interpret analytics data to make informed design and business decisions.

Practical Examples

Real-world examples from successful games demonstrating these principles in action.

Case Studies

In-depth analysis of popular games and how they apply these techniques.

What Readers Say

Tech Book Review

June 10, 2025

An exceptional guide that blends technical depth with psychological insights. A must-read for any serious game developer.

Verified Purchase

Programming Monthly

May 28, 2025

Comprehensive coverage of game analytics with practical examples. The technical sections provide unique value.

Goodreads

Game Dev Insider

June 15, 2025

This book bridges the gap between theory and code like no other resource available today.

Local Bookstore

Indie Developer

June 18, 2025

Changed how I approach game design completely. The analytics chapters helped me double my retention rates.

Verified Purchase

University Professor

May 30, 2025

Using this as a textbook in my game design course. Students love the practical applications.

Academic Review

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Who Should Read This Book

Game Developers

Improve player engagement and retention with data-driven design decisions.

Product Managers

Understand player behavior to make better product decisions.

Analysts

Learn specialized techniques for game analytics and metrics.

Students

Gain practical knowledge beyond academic theory.

Data Mining in 20 Minutes: (Coffee Book Series)

Data Mining in 20 Minutes: (Coffee Book Series)

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