Free Online Data Structures Courses and Certifications 2024

CS50x 2023 is Harvard University's introduction to the intellectual enterprises of computer science and the art of programming. In Lecture 5, Data Structures, you will learn about stacks and queues, resizing arrays, linked lists, trees, dictionaries, hashing and hash tables, tries, and more. Join David J. Malan and the CS50 community to explore the fundamentals of data structures and gain a better understanding of computer science. Subscribe to the YouTube channel and join the CS50 community to get the most out of this course.

This course is perfect for anyone looking to learn data structures in JavaScript from the ground up. It covers topics such as linked lists, binary search trees, hash tables, recursion, time complexity, the "this" keyword, the prototype object, and constructor functions. With the help of diagrams and animations, the course makes understanding the material easier. It is also great for those who are interviewing for developer/engineering jobs, as interviewers often ask candidates to write data structures out in code. If you have recently graduated from a coding bootcamp or are currently looking for a job, this course will help you to excel in technical interviews.

This course is the perfect way to learn JavaScript Data Structures & Algorithms! With over 100 hand-crafted animated HD videos, you'll be able to understand hard concepts easily and learn to code in a fun way. You'll also get dozens-and-dozens of coding exercises to put everything into practice. Plus, with the 5-star reviews from existing students, you can be sure that this course is of a very high standard. And with a 30-day money-back guarantee, there's no risk in signing up. So don't wait any longer, click the "Buy now" button and join the best JavaScript Data Structures & Algorithms course on Udemy!

This course on Data Structures in JavaScript is the perfect way to become a master at data structures! Learn how to store and structure data with this comprehensive tutorial, which covers a number of different commands built-in within the JavaScript Programming Language. From Arrays, Stacks, Linked Lists, Queues, Hash Tables and Trees Graphs to sorting and searching algorithms, this hands-on informative course will help you get ready for learning amazing data structure skills. Enroll now and start mastering data structures in JavaScript!

This course is the perfect way to learn Python Data Structures & Algorithms! With over 100 hand-crafted animated HD videos, you'll be able to understand hard concepts easily and learn to code in less time with higher retention. Plus, dozens of coding exercises will help you put everything into practice. With 5-star reviews from existing students, this course is the best way to get prepared for coding interviews. With a 30-day money-back guarantee, there's no risk - so click the "Buy now" button and join the best Python Data Structures & Algorithms course on Udemy today!

This 53-hour course is designed to help students master data structures and algorithms using C and C++. It covers each topic in great detail, with whiteboard explanations to improve problem-solving and analytical skills. Every data structure is discussed, analyzed, and implemented with practical, line-by-line coding. The instructor has extensive experience teaching this course to university students, and knows how to use whiteboard to explain topics and make them memorable. After completing the course, students will be confident enough to take on any challenging coding problem using data structures.

This course is the perfect way to learn Data Structures and Algorithms. It is comprehensive, up-to-date, and designed to turn you into a professional programmer. With a balanced mix of theory and implementation, you will learn the core basics of the language and gain a deep understanding of complex concepts. The course is packed with practical exercises based on real-life examples and is designed to be fast and engaging. It is the only course you need to learn Data Structures and Algorithms, and is the fastest and best way to gain the latest skills. Join the adventure and crack your coding interview with mastery in Data Structures and Algorithms.

This course is perfect for anyone looking to learn the fundamentals of data structures, algorithms and graphs in Python. It covers topics such as setting up the environment, arrays, linked lists, stacks and queues, binary search trees, AVL trees and red-black trees, priority queues and heaps, hashing and dictionaries, graph traversal, shortest path problems, spanning trees, substring search algorithms, Hamiltonian cycles, sorting algorithms and algorithms analysis. Each chapter includes theoretical background and step-by-step code implementation in Python. This course is ideal for those looking to use Python in fields such as investment banking, artificial intelligence or electronic trading algorithms on the stock market. Join now and start learning!

This course is perfect for anyone looking to learn about data structures and algorithms in Java. It covers topics such as prefix trees, ternary search trees, substring search algorithms, strings, sorting algorithms, data compression algorithms, and algorithms analysis. With approximately 12 hours of content, you will learn the basics of operations such as insertion, sorting, and autocomplete, as well as applications of tries in networking and the Boggle game. You will also learn about complexity classes, polynomial and non-deterministic polynomial algorithms, and running time complexities. Finally, the course includes interview questions to help you prepare for your next job. Join now and get started!

This course covers over 20+ of the most popular coding interview problems from a variety of topics. With the addition of 4 new problems every week, the course will have 200+ problems. It covers topics such as Merge Intervals, Two Pointers, Linked List Cycle, Bitwise Manipulation, Greedy Technique, Disjoint Sets, Topological Sort, Depth First Search, and more. It is perfect for those looking to brush up on their data structure and algorithm skills for interviews.

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