PHP for Data Science: From Beginner to Data Analyst

Many are accustomed to thinking that Data Science is the prerogative of Python or R. But what if your main stack is PHP, and you need to process large volumes of data, build forecasts, or create dashboards directly in a web application? The book "PHP for Data Science" breaks this stereotype and offers a practical approach to data analysis in a language you already know.

This book is not just a syntax tutorial. It is a comprehensive guide to implementing Data Science methods in the PHP ecosystem. You will learn how to use powerful PHP extensions (such as php-ml and MathPHP), as well as integrate PHP with external tools like Jupyter Notebooks, TensorFlow.js, and databases for analytics.

Who is this book for?

• PHP developers who want to expand their skills and start working with data.
• Team Leads and architects who need to implement analytics in an existing PHP project without changing the stack.
• Beginning analysts who know PHP and want to enter the world of Data Science from a language they are comfortable with.
• Anyone tired of the myth "PHP is not suitable for science" and wants to see real-world cases.

What will you learn and master?

• Data collection and cleaning: web scraping, working with CSV, JSON, APIs, handling missing values and outliers.
• Statistical analysis in PHP: calculating means, medians, correlations, p-values, and confidence intervals.
• Machine learning without Python: implementing linear regression, decision trees, K-means clustering, and neural networks in pure PHP.
• Data visualization: creating charts, histograms, and heatmaps using Chart.js, Plotly, and SVG generation.
• Big Data integration: working with ClickHouse, MySQL for analytics, and stream processing via Redis.
• Practical projects: from a product recommendation system to an anomaly detector in logs.

The book is written in a lively style, with an emphasis on practice. Each chapter contains ready-to-use code that you can run immediately on your server. You will get not only theory but also working scripts that will save hours of experimentation.

Whether you are working on a startup, a corporate portal, or a hobby project, data analysis skills will make you a more valuable specialist. Discover PHP from a new perspective: as a powerful tool for Data Science.