Technical Coding Interview Prep: Data Structures and Algorithms

Preparing for technical interviews can feel overwhelming, but success comes down to mastering foundational concepts and applying systematic problem-solving strategies. This text-based course breaks down complex computer science topics into clear, digestible explanations so you can approach your next interview with confidence. You will transition from memorizing solutions to deeply understanding how to analyze problems, choose the right data structures, and write clean, efficient code. What you'll learn: - Understand foundational data structures such as arrays, linked lists, trees, and hash tables through step-by-step written walkthroughs. - Analyze algorithm complexity using Big O notation to write optimized, high-performance code. - Apply systematic problem-solving patterns to confidently tackle unseen coding challenges on the spot. - Practice writing clean, modern code using current industry standards, including proper type hints and structured logic. - Design basic system architectures and explain your technical decisions clearly to interviewers. - Navigate the job search ecosystem, from resume optimization to technical communication and salary negotiation. We start with key terminology and foundational concepts of computational complexity before moving into specific data structures, algorithmic paradigms, and interview-day strategies. Each section offers clear written explanations, conceptual breakdowns, and practical text-based exercises. This course is designed for aspiring software developers, self-taught programmers, and computer science students preparing for technical interviews. No prior interview experience is required, though a basic understanding of any programming language is helpful. Start reading today to build the technical foundation and strategic skills needed to land your next developer role.