Data Structures and Algorithms in C# with Unit Testing

Strong software development begins with a solid understanding of how data is organized and processed. If you want to write efficient code and confidently pass technical interviews, mastering core computer science principles in C# is your most critical step. This text-based course guides you from foundational programming concepts to advanced data structures and custom algorithms. You will learn not just how to use built-in .NET collections, but how they work under the hood, enabling you to make optimal design decisions and write clean, testable code using modern C# features and Test-Driven Development (TDD). What you'll learn: - Understand the fundamental concepts of Big O notation and algorithmic complexity. - Build custom data structures from scratch including linked lists, trees, and hash tables. - Implement essential sorting and searching algorithms with step-by-step code analysis. - Apply Test-Driven Development (TDD) principles to verify your algorithms using modern testing frameworks. - Analyze the inner workings of built-in .NET collections to make optimal performance choices. - Leverage modern C# features like pattern matching and generics to write clean, type-safe structures. Starting with fundamental definitions of memory management and complexity, you will progress through sequential and non-linear data structures, concluding with practical algorithmic problem-solving and unit testing paradigms. Each concept is explained through clear, structured text and detailed code snippets. This course is designed for beginner to intermediate C# developers who want to strengthen their computer science fundamentals and prepare for coding interviews. No prior experience with algorithms, data structures, or testing is required. Start reading today to build a deeper understanding of efficient programming in C#.