About this course
This comprehensive course is designed to provide in-depth knowledge and practical expertise in JavaScript algorithms and data structures. It covers fundamental concepts, advanced techniques, and real-world applications, enabling learners to solve complex problems efficiently. Suitable for developers looking to enhance their coding skills and those preparing for technical interviews, this course bu...
What you'll learn
- Implement core data structures in JavaScript: arrays, linked lists, stacks, queues, trees, heaps, hash tables, and graphs
- Analyze time and space complexity using Big O notation
- Implement and compare sorting algorithms (quick, merge, heap, and others)
- Apply searching techniques including binary search, BFS, and DFS
- Design and reason about recursive algorithms and recursion patterns
- Use advanced structures: balanced trees, priority queues, and union-find
- Implement graph algorithms: shortest paths, MSTs, topological sort, and traversal strategies
- Apply dynamic programming and greedy approaches to optimize solutions
- Implement backtracking, string, mathematical, and bit-manipulation algorithms
- Build practical projects and practice interview-style problems to strengthen problem-solving skills
Prerequisites
Familiarity with JavaScript syntax, functions, arrays/objects, and basic programming concepts; basic algebra is useful.
- Level
- Intermediate· Level
- Duration
- 10 weeks (≈40–60 hours)· Duration
- Language
- English· Language
- Modules
- 15· Modules
Skills you'll gain
- Algorithm design
- Data structures implementation
- Complexity analysis (Big O)
- Recursion & divide-and-conquer
- Dynamic programming
- Graph theory and traversal
- Problem-solving for interviews
- JavaScript performance and optimization
- Bit manipulation and mathematical algorithms
- Project-based software development
What you'll study
15 modules — work at your own pace.
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