Advanced Data Structures Courses and Certifications

Advanced Data Structures in Java

1243 ratings at Coursera

Build a Google Maps-style route planner in Java: model graphs, run depth-first and breadth-first search, find shortest paths on weighted graphs, and tackle NP-hard TSP.

• Coursera
• 6 weeks, 5 hours a week
• Self-Paced
• Paid Course

Advanced Built-In Data Structures and their Usage

Learn to manipulate Java stacks, queues, deques, and sorted maps through practical data-structure problems and custom comparators.

• CodeSignal
• 5 hours
• Self-Paced
• Free Certificate

Advanced Data Structures and their Usage

Implement stacks, queues, deques, maps, and custom sorting in Go through practical coding exercises.

• CodeSignal
• 4 hours
• Self-Paced
• Free Certificate

Applying Advanced Data Structures on Practice in C++

Practice building C++ applications with maps, sets, nested vectors, and stacks through management, tracking, and history challenges.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Advanced Data Structures

1 rating

This course covers major results and current directions of research in data structure.

• MIT OpenCourseWare
• 30 hours
• Self-Paced
• Free Video

Easy to Advanced Data Structures

7660 ratings at Udemy

A complete guide to learning everything there is to know about data structures

• Udemy
• 8 hours 18 minutes
• Self-Paced
• Paid Course

Advanced Data Structures, RSA and Quantum Algorithms

70 ratings at Coursera

Build RSA public key cryptography from number theory, run quantum algorithms like Grover's and Shor's with Qiskit, and master B-trees and suffix tries.

• Coursera
• 4 weeks, 11 hours a week
• Self-Paced
• Paid Course

Data Structures and Algorithm Design Part II | 数据结构与算法设计(下)

1 rating

An advanced study of sophisticated data structures—including splay, B-tree, and red-black trees—and their role in algorithm design and performance analysis.

• edX
• 8 weeks, 3-7 hours a week
• Self-Paced
• Free Certificate

Discover and design new data structures that follow abstract rule-based systems by building out graphs, hash-maps, and heaps.

• Codecademy
• 7 hours
• Self-Paced
• Free Trial Available

Build trees, heaps, binary search trees, and graphs from scratch in Swift, then implement a graph search algorithm, with concept lessons and quizzes throughout.

• Codecademy
• 4 hours
• Self-Paced
• Free Trial Available

Packt

Advanced Data Structures & Algorithms in Practice

Implement heaps, binary search trees, and segment trees in Python, and solve dynamic programming, union-find, graph traversal, bit manipulation, and backtracking problems.

• Coursera
• 9 weeks, 2 hours a week
• Self-Paced
• Paid Course

Packt

Advanced Data Structures and Algorithm Optimization

Master recursion, backtracking, binary trees, BSTs, heaps, dynamic programming, greedy strategies, bit manipulation, and graph algorithms on problems like N-Queens, course scheduling, and network delay.

• Coursera
• 8 weeks, 2 hours a week
• Self-Paced
• Paid Course

Packt

Advanced Data Structures and Problem-Solving Techniques

Implement queues, heaps, binary trees, and binary search trees in JavaScript, and solve coding problems with sliding window, two-pointer, and binary search techniques.

• Coursera
• 7 weeks, 2 hours a week
• Self-Paced
• Paid Course

Implement advanced string-searching algorithms, tree structures, deques, and Hamiltonian algorithms in Python.

• Codecademy
• 6 hours
• Self-Paced
• Free Trial Available

Advanced Data Structures - Stacks and Queues in Java

Implement stacks and queues in Java: push and pop methods, parentheses validation, string reversal, circular queues, moving averages, and constant-time maximum lookup.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate