JavaScript Algorithms and Data Structures for Coding Interviews

Understanding how to structure data and optimize algorithms is what separates junior developers from senior engineers. This course provides the foundational computer science knowledge needed to tackle complex coding challenges and pass technical screenings with confidence. You will learn to analyze code efficiency, implement classic data structures from scratch, and apply sophisticated algorithms to solve real-world problems using modern JavaScript. What you'll learn: - Understand Big O notation to analyze and optimize the time and space complexity of your code. - Implement fundamental data structures including linked lists, trees, heaps, hash tables, and graphs. - Apply recursive thinking and modern functional programming patterns to simplify complex logic. - Master essential searching and sorting algorithms like quick sort, merge sort, and radix sort. - Solve intricate problems using dynamic programming and graph traversal techniques like Dijkstra’s algorithm. - Practice a structured five-step approach to deconstructing and solving unfamiliar technical challenges. The curriculum begins with core terminology and complexity analysis before moving into practical implementation of data structures and algorithmic strategies. You will work through detailed written explanations and code-based exercises designed to reinforce theoretical concepts and prepare you for professional development environments. This course is designed for beginner to intermediate developers who want to strengthen their computer science fundamentals; no prior experience with algorithms is required. Start building your technical foundation today.