Master data structures and algorithms for efficient problem solving
| Description | This intermediate course explores dynamic arrays, priority queues, hash tables, and binary search trees. Through hands‑on assignments in C++ and Java, learners gain practical skills in implementing efficient data structures, analyzing performance, and applying them to real‑world problems like storage optimization and graph processing. |
| Modules | 6 Modules |
| Link | Enroll |
| Description |
The backbone of every program or piece of software are two entities: data and algorithms. Algorithms transform data into something a program can effectively use. Therefore, it is important to understand how to structure data so algorithms can maintain, utilize, and iterate through data quickly. |
| Content | 37 lessons |
| Link | Start |
| Description | This intermediate course introduces arrays, ArrayLists, linked lists, stacks, queues, and deques in Java. Learners explore recursion, time complexity, and amortized analysis while implementing data structures. With short video lectures, visualization labs, quizzes, and coding assignments, it builds strong foundations in efficiency, abstraction, and problem‑solving. |
| Modules | 4 Modules |
| Link | View |
| Description |
This comprehensive lecture series introduces fundamental data structures and algorithms. Topics include stacks, queues, linked lists, trees, hashing, sorting, and graph algorithms. Learners gain theoretical understanding and practical insights into efficient problem‑solving, preparing them for advanced computer science studies and applications in software development. |
| Videos | 36 |
| Link | Watch |
| Description |
This beginner-friendly Python course introduces essential data structures and algorithms, including linked lists, binary search, trees, hash tables, sorting, recursion, dynamic programming, and graph algorithms. Through clear explanations, problem-solving walkthroughs, and interview tips, learners build a solid foundation in computational thinking and Python programming for technical interviews and real-world applications. |
| Videos | 60 |
| Link | Watch |
| Description |
This beginner-friendly Algorithms and Data Structures tutorial covers linked lists, stacks, queues, trees, hash tables, sorting, recursion, dynamic programming, and graph algorithms. Learners gain practical problem-solving skills, interview preparation strategies, and a solid foundation in computational thinking using Python, making it ideal for both academic study and technical career readiness. |
| Videos | 3 |
| Link | Watch |