C# (.NET) for Data Science: From Basics to Production

The book "C# (.NET) for Data Science" is the first practical guide of its kind that reveals the capabilities of the .NET ecosystem for solving data analysis, machine learning, and visualization tasks. Contrary to the stereotype that Data Science is exclusively the domain of Python and R, modern C# and the .NET platform provide powerful tools for building end-to-end data processing pipelines that easily integrate with corporate systems.

Who this book is for:

• C# developers who want to expand their expertise into data science and machine learning.
• Data analysts familiar with Python but wanting to master the .NET stack for working in the Microsoft ecosystem.
• Students and beginners choosing C# as their primary programming language and interested in data analysis.
• Tech leads and architects planning to implement ML solutions on the .NET platform.

What you will learn from the book:

• How to set up a data science environment on .NET: Jupyter Notebooks with .NET Interactive, Visual Studio, VS Code.
• Working with the Deedle library for manipulating tabular data (analogous to pandas).
• Fundamentals of statistical analysis and data visualization using Plotly.NET, LiveCharts, and ScottPlot.
• Applying LINQ for efficient data processing and transformation.
• Building machine learning models using ML.NET: regression, classification, clustering, recommendations.
• Working with neural networks via TensorFlow.NET and TorchSharp.
• Deploying models to production: creating Web APIs, integrating with databases, using Docker and Azure.
• Real-world cases: time series forecasting, text sentiment analysis, customer segmentation, anomaly detection.

Book features:

• All code examples are written in C# 12 and .NET 8 with an emphasis on modern language features.
• Step-by-step instructions from library installation to deploying a finished solution.
• Practical exercises and checklists for reinforcing the material.
• Ready-made projects that can be used as templates for your own tasks.

The book is written in simple and accessible language, requiring no deep knowledge of mathematics or statistics — all necessary concepts are explained as needed. You will learn to think like a data scientist while using your native C#.

Perfect for those who want to combine the power of the .NET ecosystem with modern data analysis and machine learning methods without leaving their familiar development environment.