Algorithms and Data Structures Courses and Certifications

Advanced Algorithms and Complexity

701 ratings at Coursera

Explore advanced algorithms for network flows, linear programming, NP-complete problems, and streaming. Learn to solve complex computational challenges and optimize real-world systems efficiently.

• Coursera
• 1 day 3 hours 15 minutes
• Self-Paced
• Paid Course

Ordered Data Structures

923 ratings at Coursera

Explore efficient data structures for ordered sequences, including arrays, linked lists, trees, and heaps. Learn algorithm complexity analysis for faster searching and sorting.

• Coursera
• 18 hours 41 minutes
• Self-Paced
• Paid Course

Computer Science: Algorithms, Theory, and Machines

764 ratings at Coursera

Explore algorithms, theory, and machines in computer science. Learn about sorting, data structures, computational theory, and computer architecture. Gain insights into the field's history and fundamental concepts.

• Coursera
• 20 hours 4 minutes
• Self-Paced
• Paid Course

Data Structures and Algorithms (I)

34 ratings at Coursera

通过学习本课程，你将掌握向量和列表，评估数据结构和算法的复杂度，分析算法的空间/时间复杂度，理解和实现基本排序和搜索算法，并解决实际问题。

• Coursera
• 1 day 1 hour 38 minutes
• Self-Paced
• Paid Course

Data Structures and Algorithms (II)

全面掌握栈、队列、二叉树、图和BST的结构、算法及应用。学习实现这些数据结构，并运用于解决实际问题，如霍夫曼编码、图遍历和AVL树。

• Coursera
• 1 day 12 hours 54 minutes
• Self-Paced
• Paid Course

Data Structures and Algorithms (IV)

全面掌握优先级队列、字符串匹配和高级排序算法，包括桶排序、堆排序、KMP等。学习实现和分析这些数据结构和算法，提升编程和问题解决能力。

• Coursera
• 1 day 1 hour 18 minutes
• Self-Paced
• Paid Course

Data Structures and Algorithms (III)

全面掌握散列和平衡二叉搜索树技术，学习设计哈希表、实现Splay树、红黑树和B树，并应用于范围查询等实际问题解决。

• Coursera
• 1 day 2 hours 47 minutes
• Self-Paced
• Paid Course

Paradigms of Computer Programming – Abstraction and Concurrency

5 ratings

This course covers data abstraction, state, and deterministic dataflow in a unified framework with practical code exercises.

• edX
• 6 weeks, 4-6 hours/week
• Self-Paced
• Free Certificate

Algorithms: Design and Analysis, Part 1

13 ratings at edX

Explore fundamental algorithms and data structures, mastering concepts like Big-O notation, sorting, searching, and graph primitives to enhance your problem-solving skills and ace technical interviews.

• edX
• 6 weeks, 2-4 hours/week
• Self-Paced
• Free Online Course (Audit)

Algorithms: Design and Analysis, Part 2

Explore advanced algorithm design techniques like greedy algorithms, dynamic programming, and NP-completeness. Master fundamental concepts through problem sets and programming assignments.

• edX
• 6 weeks, 2-4 hours/week
• Self-Paced
• Free Online Course (Audit)

Data Structures and Algorithms: Merge Sort

Master six distinct merge sort implementations to sharpen your software craftsmanship and problem-solving techniques through hands-on coding practice.

• Scrimba
• 1 hour 4 minutes
• Self-Paced
• Free Online Course

Data Structures and Algorithms: Binary Search

Master binary search through six coding implementations, enhancing problem-solving techniques and computer science fundamentals in just over an hour.

• Scrimba
• 1 hour 3 minutes
• Self-Paced
• Free Online Course

Programming Languages, Part C

463 ratings at Coursera

Explore functional programming concepts using ML, Racket, and Ruby. Learn language design principles to write elegant, reusable code and gain a deeper understanding of programming paradigms.

• Coursera
• 18 hours 2 minutes
• Self-Paced
• Paid Course

Unordered Data Structures

557 ratings at Coursera

Explore hash tables, disjoint sets, and graphs. Learn data structures and algorithms for unordered data, including graph traversal and shortest path finding.

• Coursera
• 20 hours 31 minutes
• Self-Paced
• Paid Course

Algorithmic Design and Techniques

3 ratings

Learn how to design algorithms, solve computational problems and implement solutions efficiently.

• edX
• 6 weeks, 8-10 hours/week
• Self-Paced
• Free Online Course (Audit)