Big Tech Coding Interview Patterns

Preparing for technical coding interviews can feel overwhelming with countless problems to solve. The key to success is not memorizing solutions, but recognizing the underlying patterns that apply to hundreds of different challenges. This text-based course guides you through the most common algorithmic patterns and data structures used in top-tier tech interviews. You will learn how to analyze problems systematically, choose the right approach, and write clean, structured code that interviewers look for. What you'll learn: - Understand foundational data structures and their time and space complexities using Big O notation. - Apply core algorithmic patterns such as sliding window, two pointers, and depth-first search to coding challenges. - Practice translating abstract problem statements into clean, modern code with proper type hints and structure. - Analyze edge cases and learn how to dry-run your solutions systematically. - Explore modern coding practices, including writing basic test assertions to verify your algorithm's correctness. The course begins with essential terminology and Big O analysis before diving into specific algorithmic patterns. Each section breaks down a core concept, explains the pattern in detail, and walks through step-by-step written explanations of common interview problems. This course is designed for beginners and early-career developers preparing for technical interviews, with no prior interview prep experience required. A basic familiarity with programming concepts is all you need to start. Start reading today to build your problem-solving toolkit and approach your next technical interview with confidence.