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Data Structures and Algorithms

Track :

Programming

Lessons no : 5

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What will you learn in this course?
  • Master data structures like arrays, linked lists, stacks, queues, trees, graphs, and hash tables for efficient software development
  • Implement key algorithms including sorting, searching, recursion, and dynamic programming to solve complex problems effectively
  • Analyze algorithm efficiency using Big O notation to optimize code performance in real-world applications
  • Apply graph traversal techniques such as BFS and DFS to develop scalable solutions for network and data analysis

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Lessons | 5

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Related Courses

Data Structures and Algorithms Course – In this course, we will learn about Data Structures and Algorithms (DSA), essential for efficient problem-solving and software development. You will explore fundamental data structures such as arrays, linked lists, stacks, queues, trees, graphs, and hash tables, understanding their properties, use cases, and implementation. The course also covers key algorithmic techniques including sorting, searching, recursion, dynamic programming, greedy algorithms, and graph traversal methods like BFS and DFS. You will learn how to analyze algorithm efficiency using Big O notation and optimize performance for real-world applications. Through practical coding exercises and problem-solving strategies, this course prepares you for technical interviews and competitive programming. Whether you are a beginner or looking to strengthen your DSA skills, this course provides a solid foundation for designing scalable and efficient software solutions.