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Comprehensive coverage of data structures and algorithms in JavaScript
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100 Leetcode problems for hands-on practice and interview prep
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Clear explanations with practical coding examples throughout the course
In today’s tech world, mastering data structures and algorithms is crucial. This course offers a hands-on approach to learning JavaScript-based implementations of key algorithms and data structures, paired with 100 Leetcode problems to solidify your skills. It starts with algorithm analysis, covering time and space complexity, then moves on to essential topics like arrays, sorting algorithms, linked lists, and dynamic programming.
You'll dive into binary trees, heaps, and binary search trees while solving practical coding exercises. The course focuses on not just theoretical knowledge, but also practical application, preparing you for real-world technical challenges.
By the end of the course, you will have a deep understanding of how to implement and optimize algorithms in JavaScript. You'll be well-prepared for coding interviews at top tech companies and confident in your ability to solve complex algorithmic problems. Whether you're a beginner or someone looking to brush up on your skills, this course offers the structure, resources, and practice to succeed.
This course is designed for aspiring software developers, computer science students, and anyone preparing for technical interviews. It’s perfect for those who want to strengthen their understanding of data structures and algorithms in JavaScript and master problem-solving with practical exercises. While no advanced prerequisites are needed, a basic understanding of JavaScript will be helpful.
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Master core data structures and algorithms in JavaScript
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Solve 100 Leetcode problems to improve problem-solving skills
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Implement and optimize sorting algorithms efficiently
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Analyze time and space complexity for algorithm optimization
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Prepare for technical interviews with coding challenges
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Gain expertise dynamic programming and backtracking strategies