![]() You can use these courses to familiarize yourself with the essential data structures and learn some basics. Many programmers think that free resources are not good, which is not true.Įven though they sometimes don’t match the quality and coverage of paid resources, they are, in fact, the best resources to start with. Here is my list of some of the best courses to learn data structures and algorithms, which are also free. Free Courses to Learn Data Structures and Algorithms If you think that your data structure knowledge is not up to par or you want to improve your data structure knowledge, then you have come to the right place.Įarlier, I shared some free books to learn data structures and algorithms, and in this article, you will learn about some of the best data structure and algorithm courses that are available for free online. We didn’t know that Facebook would use them to store our details or that Google would use them to store web pages and link to search queries. some concept, not a tool that you can use to write good programs. ![]() Most of the programmers, including myself, only get introduced to a data structure in our computer science courses, but we didn’t really learn the real-world importance of them, and that’s why we didn’t understand them better.įor us, they are just the algorithms and data structures e.g. Ideally, we should all learn data structures and algorithms in our schools and colleges, but it’s rarely ever covered. Using the right data structure can drastically improve the performance of an algorithm. JDK or C++ STL library, you will need to understand them so that you can use them in the right place. array, string, linked list, tree, map, and advanced data structures like tries, and self-balanced trees like AVL trees, etc., you’ll know when to use which data structure and compute the CPU and memory cost of your code.Įven though you don’t need to write your own array, linked list, or hashtable, given every major programming SDK provides them, e.g. If you are familiar with essential data structures e.g. Good knowledge of data structures and algorithms is the foundation of writing good code. The efficiency of these algorithms is discussed, proposing alternatives for their improvement.Data structures and algorithms are some of the most essential topics for programmers, both to get a job and to do well on a job. The last week presents some basic algorithms for searching and sorting information in linear and non-linear data structures. Implementations based on Linked Lists for Trees and Heaps will be analyzed. Algorithms for inserting and extracting information from Binary Search Trees and Heaps will be discussed this week. Binary Search Trees and Heaps are presented as two well-known examples of Trees. The fourth week introduces non-linear data structures, and particularly Trees. Algorithms for inserting and extracting information from Queues will be discussed this week, as well as implementations of Queues with Linked Lists. Queues are also called FIFO data structures (first-in, first-out). The third week addresses another well-known linear data structure: Queues. ![]() Algorithms for inserting and extracting information from Stacks will be discussed this week, as well as implementations of Stacks with Linked Lists. Stacks are also called LIFO data structures (last-in, first-out). The second week addresses Stacks, which are one well-known linear data structure. Several implementations for storing information in Lists are presented in this week, including the use of Arrays of primitive data types, the use of Arrays of objects of the same class, and the use of links (Linked Lists). The first week starts with the most fundamental data structure: Lists.
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