Linked Lists Courses and Certifications

CodeBeauty

Data Structures - Complete Beginner's Guide to Arrays, Linked Lists, Stacks, Queues, Trees, and More

Master essential data structures from arrays to trees with hands-on C++ examples, algorithms, and STL implementations in this comprehensive beginner-friendly tutorial series.

• YouTube
• 6 hours 34 minutes
• On-Demand
• Free Video

Python Data Structures: Linked Lists

102 ratings at LinkedIn Learning

Rock your next technical interview by learning how to communicate your understanding of linked lists.

• LinkedIn Learning
• 1-2 hours
• On-Demand
• Free Trial Available

Introduction to Object-Oriented Programming with Java III: Exceptions, Data Structures, Recursion, and GUIs

13 ratings at edX

Learn how to create and use exceptions, data structures, recursion, and graphical user-interfaces (GUIs).

• edX
• 6 weeks, 5-6 hours a week
• On-Demand
• Free Online Course (Audit)

Linked Lists for Technical Interviews - Full Course

Master linked list problem-solving for technical interviews. Learn traversal, value manipulation, finding nodes, reversing lists, and more through hands-on coding challenges.

• freeCodeCamp
• 1-2 hours
• On-Demand
• Free Video

DSA Crash Course: Linked Lists

Master linked list fundamentals and essential operations through hands-on practice, from basic traversal to advanced techniques like list reversal and merging, preparing you for technical interviews.

• Taro
• 1 hour 18 minutes
• On-Demand
• Free Online Course

Microcredential

Data Structures and Algorithms

Comprehensive exploration of data structures and algorithms, covering linear and nonlinear structures, sorting techniques, and advanced algorithms. Emphasizes implementation, efficiency, and practical applications in software development.

• edX
• 20 weeks, 9-10 hours a week
• On-Demand
• $756.00
• 3 courses

CodeBeauty

Introduction to Linked Lists, Arrays vs Linked Lists, Advantages-Disadvantages - C++ Data Structures

Comprehensive introduction to linked lists in C++, covering implementation, advantages, and comparisons with arrays. Includes practical coding examples and functional applications.

• YouTube
• 23 minutes
• On-Demand
• Free Video

Back To Back SWE

Linked Lists and Hashtables

Master linked lists and hashtables through hands-on problem solving with graph cloning, substring algorithms, list merging, LRU cache implementation, and reversal techniques.

• YouTube
• 1 hour 32 minutes
• On-Demand
• Free Video

Java Mastery Intermediate: Methods, Collections, and Beyond

108 ratings at Udemy

Unlocking the Full Potential of Java Intermediate Programming and manipulating data efficiently

• Udemy
• 8 hours 52 minutes
• On-Demand
• Paid Course

Understanding Data Structures using C#

102 ratings at Udemy

Dive deep into data structures and algorithms with C#, covering sorting, searching, stacks, queues, hashtables, dictionaries, linked lists, and binary trees through practical examples.

• Udemy
• 1 hour 35 minutes
• On-Demand
• Free Online Course

Java Collection Framework in Detail

43 ratings at Udemy

Detailed Explanation of Collection classes with Best examples and Handpicked problems

• Udemy
• 8 hours 58 minutes
• On-Demand
• Paid Course

Complete course on Tree - Data Structures

38 ratings at Udemy

Learn how to implement and how to solve problems on Binary Tree in the simplest way!

• Udemy
• 6 hours
• On-Demand
• Paid Course

Coursera

Java Built in Data Structures

20 ratings at Coursera

Explore Java's built-in data structures through hands-on weather data analysis, utilizing ArrayList, Set, and HashMap for efficient data manipulation and retrieval.

• Coursera
• 2 hours
• On-Demand
• Paid Course

Packt Microcredential

Mastering Java - From Beginner to Intermediate

Master Java programming from basics to advanced concepts, including syntax, OOP principles, data structures, and practical development skills through hands-on exercises and real-world examples.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Coursera

Optimize Java Memory for ML Performance

Master Java memory optimization techniques to eliminate 40% of ML performance bottlenecks through profiling, GC tuning, and systematic optimization strategies.

• Coursera
• 4 hours 2 minutes
• On-Demand
• Paid Course