Foundations of Data Structures and Algorithms in JavaScript

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This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This course will give you a solid foundation in data structures and algorithms, focusing on their implementation and analysis in JavaScript. You'll learn the core concepts of algorithm analysis, including time and space complexity, and apply these principles to solve complex coding problems. With practical exercises from Leetcode, you'll be able to enhance your coding and problem-solving skills. By the end of the course, you'll be proficient in implementing and analyzing fundamental data structures, such as arrays, linked lists, stacks, and hash tables. Each lesson builds on the previous one, allowing you to gradually gain confidence in tackling real-world coding challenges. The course begins with algorithm analysis concepts like Big O notation and moves through key data structures, such as arrays and linked lists, with Leetcode problem-solving exercises throughout. You'll also cover popular sorting algorithms, recursion, and advanced structures like hash tables. By tackling these topics step by step, you'll gain an understanding of how each data structure is used in software engineering and coding interviews. This course is ideal for those who want to develop a strong programming foundation in JavaScript and prepare for coding interviews. It’s perfect for individuals with an interest in computer science, software development, or those aiming to improve their problem-solving skills. No prior experience in data structures or algorithms is necessary, but familiarity with basic JavaScript is recommended. By the end of the course, you will be able to efficiently analyze algorithms, implement key data structures, solve challenging problems using Leetcode, and confidently approach technical interviews.

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