Data Structures and Algorithms: The Complete Masterclass

About this course

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. 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.

Course objectives

• to provide a comprehensive understanding of data structures
• to equip students with practical algorithmic skills using Python
• to prepare participants for technical interviews