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Master the essential principles of data structures and algorithms through this comprehensive course. From Big O notation and recursion to complex structures like graphs and trees, you’ll gain the skills needed to design and implement efficient algorithms using Python. This course lays the foundation for solving real-world problems and excelling in technical interviews.

You'll begin with a deep dive into complexity analysis and Big O notation before progressing to core data structures such as arrays, linked lists, stacks, queues, trees, heaps, tries, and graphs. Hands-on segments walk you through implementing these structures with Python while highlighting their real-world use cases and efficiencies.

Next, you'll explore fundamental and advanced sorting and searching algorithms, recursion strategies, and tree/graph traversals. You’ll cap off your learning by solving real-world coding challenges designed to simulate technical interviews and solidify your understanding through practical application.

This course is perfect for computer science students, aspiring developers, and professionals preparing for technical interviews. A basic familiarity with Python and programming logic is helpful but not mandatory.

Applied Learning Project

In this course, you'll work on practical projects that solidify your understanding of algorithms and data structures. Implement linked lists, stacks, queues, and hash tables. Tackle sorting challenges like merge sort and quick sort. Explore graph traversal techniques and tree algorithms to solve real-world problems. Each project reinforces theoretical concepts with hands-on coding, preparing you for industry scenarios and technical interviews. You'll not only write efficient code but also gain insights into optimizing solutions for scalability and performance. These projects ensure you're ready to tackle coding challenges with confidence.