Top Courses on Data Structures and Algorithms
Foundations of Data Structures and Algorithms Specialization
This specialization covers the fundamentals of data structures and algorithms with a focus on data science applications. It includes topics like arrays, hash-tables, heaps, trees, and graphs.
Data Structures and Algorithms Specialization
This course teaches algorithms and data structures through hands-on coding challenges and real-world applications. It covers topics like greedy algorithms, binary search, and dynamic programming with nearly 100 programming problems to solve.
Algorithms, Part I
This course provides essential knowledge on algorithms and data structures, emphasizing Java implementations and performance analysis. It covers basic data structures, sorting, and searching.
Algorithms, Part II
This course offers fundamental knowledge of algorithms and data structures, with a primary focus on graph and string algorithms. Students can refer to the book ‘Algorithms’ for deeper understanding.
Algorithms and Data Structures Tutorial – Full Course for Beginners
This course covers algorithms and data structures, focusing on fundamental concepts, measurement, and evaluation. It includes three main parts: algorithms, data structures, and sorting and searching algorithms.
Algorithms Specialization
This specialization introduces algorithms with a focus on conceptual understanding for those with some programming experience. It covers topics like divide and conquer, graph search, greedy algorithms, and NP-complete problems.
Data Structures & Algorithms Using C++
This self-paced course teaches how to implement data structures and algorithms in C++, focusing on efficiency and real-world problem-solving. It covers pointers, dynamic storage, recursion, sorting, and more.
Foundations of Data Structures
This course covers essential data structures for efficient algorithm design, starting with basic data types and progressing to sequences, trees, sets, maps, and graphs.
Data Structures & Algorithms I: ArrayLists, LinkedLists, Stacks and Queues
This course reviews key Java techniques and introduces time complexity. It covers arrays, linked lists, and their use in implementing ADTs like stacks, queues, and deques.
Data Structures & Algorithms II: Binary Trees, Heaps, SkipLists and HashMaps
This course covers nonlinear and hierarchical data structures like trees, Binary Search Trees (BSTs), Binary Heaps, HashMaps, and SkipLists. It emphasizes time complexity and tree properties.
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