Lear Data Structures and Algorithms Visually

Learning Data Structures and Algorithms (DSA) often feels like facing an challenging wall of complex jargon, syntax, and heavy mathematics. But don't worry because we just posted a course on the freeCodeCamp.org YouTube channel taught by Sumit Saha that covers foundational computer science concepts using relatable, real-world analogies.

You will develop an intuitive mental model of how data is stored, searched, and optimized behind the scenes. By mapping abstract technical ideas to familiar daily experiences, the course demonstrates that you already practice these concepts in your everyday life.

Here are the topics covered in this course:

• Core linear structures, including arrays, singly linked lists, doubly linked lists, and circular linked lists.

• Sequential collection tools such as stacks (LIFO), queues (FIFO), circular queues, double-ended queues (deques), and priority queues.

• High-speed key-value pairing using hash tables, hash functions, and duplicate-filtering sets.

• Hierarchical and interconnected models, including heaps (min/max), binary search trees, balanced AVL and Red-Black trees, tries, and diverse graph variations.

• Searching and sorting algorithms like linear search, binary search, bubble sort, selection sort, insertion sort, merge sort, and quicksort.

• Foundational algorithmic paradigms, covering recursion, backtracking, Dijkstra’s shortest path algorithm, greedy methods, divide-and-conquer strategies, and dynamic programming.

Once you master the logic and trade-offs introduced in this course, implementing them in any language becomes easier. Watch the full course on the freeCodeCamp.org YouTube channel (1-hour watch).