Data Structures and Algorithms for Technical Interviews

Landing a software engineering role requires a deep, intuitive understanding of how data is organized and manipulated. This course is designed to bridge the gap between theoretical computer science and the practical problem-solving skills demanded by modern technical interviews. You will learn how to analyze complexity, select the right structures, and write clean, efficient code. Starting with foundational concepts, you will build a strong mental model of advanced data structures and their real-world applications. By reading through clear, structured explanations and analyzing step-by-step code implementations, you will develop the analytical mindset needed to tackle unseen coding challenges under pressure. What you'll learn: - Analyze time and space complexity using Big O notation for any algorithm - Implement and manipulate advanced trees, heaps, and graph structures - Apply robust search and traversal algorithms to solve complex data relationships - Master core algorithmic patterns like recursion, backtracking, and dynamic programming - Write clean, modern code using current industry practices such as type hints and modular design - Formulate optimal strategies to approach and decompose technical interview questions The course begins with fundamental definitions and essential terminology before diving into complex structures, ensuring you build a solid foundation. You will progress from basic tree traversals to advanced algorithmic optimization techniques through structured written breakdowns and practical code walkthroughs. This course is perfect for beginner to intermediate programmers, computer science students, and self-taught developers preparing for technical interviews and placement assessments. No advanced algorithms background is required to get started.