Data Structures and Algorithms Specialization Bootcamp
Learn data structures and algorithms by solving 80+ practice problems. Start with core concepts like time and space complexity, then apply and evaluate different data structures and algorithms to solve open-ended problems and implement efficient solutions.
What you'll learn
- Solve 80+ practice problems covering core data structures and algorithms
- Learn to analyze time and space complexity for different approaches
- Practice problem‑solving frameworks for open‑ended coding challenges
- Implement arrays, linked lists, stacks, queues, trees, maps, and hashing
- Master searching, sorting, recursion, and divide‑and‑conquer techniques
- Work on applied projects like LRU cache, Huffman coding, and more
Skills you'll gain
- Evaluate and compare data structures and algorithms for given problems
- Implement arrays, linked lists, stacks, queues, trees, maps, and hash tables
- Analyze and reason about time and space complexity
- Use recursion effectively and understand the call stack
- Implement and adapt searching and sorting algorithms
- Apply divide‑and‑conquer strategies to design faster algorithms
- Build and use advanced structures like heaps, tries, and self‑balancing trees
- Complete practical projects involving caches, recursion over files, Huffman coding, and blockchain‑style structures
Prerequisites
- • Basic Python programming knowledge
- • Familiarity with fundamental programming concepts such as functions, control structures, and classes
Who this course is for
- → Learners who want to strengthen data structures and algorithms skills
- → Developers preparing for technical and coding interviews
- → Programmers seeking a structured DSA specialization bootcamp
Provider
Bootcamp AI
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