Coding Interview Prep: Algorithmic Problem Solving for Tech Giants

Preparing for technical interviews at top-tier technology firms can feel overwhelming without a clear, structured roadmap. This text-based course demystifies the coding interview process by teaching you how to analyze problems, choose the right data structures, and write clean, optimized code. You will transition from memorizing solutions to understanding core computer science principles. By studying step-by-step written breakdowns of common patterns, you will develop a methodical framework to tackle unfamiliar algorithmic challenges with confidence. What you'll learn: 1. Understand fundamental data structures including arrays, linked lists, trees, and modern hash map implementations. 2. Apply Big O notation to analyze and optimize the time and space complexity of your code. 3. Master key algorithmic patterns such as recursion, sliding windows, and two-pointer techniques. 4. Practice step-by-step problem-solving frameworks to communicate your thought process clearly during interviews. 5. Learn to write clean, maintainable, and readable code that meets modern software engineering standards. 6. Navigate behavioral and system design fundamentals commonly paired with coding assessments. The course begins with foundational concepts and essential terminology before guiding you through structured written exercises and detailed walkthroughs of classic interview problems. You will explore increasingly complex data structures and algorithmic paradigms at your own pace. This course is designed for aspiring software engineers and computer science students looking to build a strong foundation in technical interview preparation. No prior interview experience is required. Start reading today to build the problem-solving skills needed to land your next software engineering role.