Dec 12, 2024 · Advanced Data Structures refer to complex and specialized arrangements of data that enable efficient storage, retrieval, and manipulation of information in computer science and programming. These structures go beyond basic data types like arrays and lists, offering sophisticated ways to organize and

Each module walks you through implementation, visualization, and performance analysis. Conclude with tree and graph traversal algorithms, covering depth-first, breadth-first searches, and their applications in hierarchical and networked data structures.

This advanced course builds on foundational algorithms and data structures to help you tackle complex problems. Learn to implement efficient string matching, advanced tree structures, and hybrid data structures like deques.

Learn the basics of advanced data structures and algorithms. We will cover topics like Big O notation, complexity analysis, and the importance of choosing the right data structure and algorithm for a given problem.

Data structures play a central role in modern computer science. You interact with data structures even more often than with algorithms (think Google, your mail server, and even your network routers). In addition, data structures are essential building blocks in obtaining efficient algorithms. This course covers major …

This course will teach you the necessary theory and applications to properly understand the advanced algorithms and data structures that are critical to various problems and how to implement them. We’ll also go hands-on and reveal tips and tricks for optimizations, identifying the right approaches and presenting convincing explanations.

Advanced Algorithms and Data Structures teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques.

Advance your Software Engineering or Data Science Career by Learning Algorithms through Programming and Puzzle Solving. Ace coding interviews by implementing each algorithmic challenge in this Specialization.

Coursera's Data Structures and Algorithms courses equip learners with fundamental and advanced computational skills: Understanding of basic data structures such as arrays, lists, stacks, queues, and trees. Proficiency in more complex data …

Improve the efficiency of algorithms for different data structures to enhance performance in real-world applications. Strengthen critical thinking and problem-solving skills by analyzing complex problems and devising efficient solutions using various algorithmic techniques. Course Outcomes.