JavaScript (Node.js) for Data Science: Data Analysis and Machine Learning

This book is a unique practical guide that shatters the myth that data science is exclusively the domain of Python. You will learn how to harness the full power of the JavaScript (Node.js) ecosystem for collecting, processing, analyzing, and visualizing data, as well as for building machine learning models.

The book is intended for web developers and engineers who are already familiar with the basics of JavaScript and want to expand their skills toward working with data. It will also be useful for analysts and data professionals who are looking for alternative tools or want to integrate data analysis directly into their web applications and server-side solutions.

Inside, you will find step-by-step instructions and real code examples. The reader will learn:

• Fundamentals of working with data in Node.js: parsing CSV, JSON, and Excel files, working with databases, and streaming large volumes of information.
• Libraries for numerical calculations and statistics: using Lodash, Simple Statistics, and jStat for calculating means, variances, correlations, and hypothesis testing.
• Data visualization: creating interactive and static charts using Chart.js, Plotly.js, and D3.js directly on the server or in the browser.
• Machine learning in JavaScript: building and training neural networks with TensorFlow.js, including classification, regression, and clustering tasks.
• Practical projects: from creating a simple parser and log analyzer to developing a full-fledged API for time series forecasting.
• Integration with web tools: how to embed machine learning models into existing Node.js applications and microservices.

The book is written in simple and accessible language, focused on practice, and not overloaded with complex mathematical theory. Each chapter contains exercises to reinforce the material. You will receive ready-made scripts and templates that can be immediately adapted to your own tasks.

Whether you are working on an analytical dashboard, a recommendation system, or simply want to automate routine data analysis, this book will be your reliable companion. Make JavaScript a full-fledged tool in your data scientist's arsenal!