Data Structures & Algorithms in JavaScript
About this course
This specialization 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 specialization. In this specialization, you'll explore key data structures and algorithms in JavaScript, essential for solving coding challenges and acing interviews. You will master core algorithmic concepts such as time and space complexity, Big O notation, and recursion. Then, you'll dive into practical applications of arrays, sorting algorithms, linked lists, hash tables, stacks, queues, and sliding window techniques. By solving Leetcode problems, you will understand how to apply these structures in real-world scenarios. As you progress through the specialization, you’ll gain proficiency in solving common interview problems and implementing efficient algorithms. This specialization is perfect for anyone interested in building a solid foundation in computer science. Whether you’re a student preparing for coding interviews or a developer looking to enhance your algorithm skills, this specialization will equip you with the tools you need to succeed. By the end of the specialization, you will be able to implement and optimize data structures and algorithms in JavaScript, evaluate time and space complexity, and solve real-world problems efficiently using data structures like arrays, linked lists, and graphs.
68/100
CourseAsk score
- What the provider tells you
- 32/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
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What you'll learn
- implement and optimize data structures in JavaScript
- evaluate time and space complexity
- solve real-world problems using data structures like arrays and linked lists
- master common algorithmic concepts
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