Learn Data Structures and Algorithms for free 📈

This full course tutorial covers data structures and algorithms in Java, guiding viewers through fundamental concepts such as stacks, queues, priority queues, linked lists, dynamic arrays, and more. It also explores algorithmic techniques like sorting, searching, recursion, and graph traversal, providing clear explanations and practical examples. Code from each video can be found pinned in the comments section of the original series playlist. #1 (00:00:00) What are data structures and algorithms? 📈 #2 (00:02:20) Stacks 📚 #3 (00:11:45) Queues 🎟️ #4 (00:21:51) Priority Queues 🥇 #5 (00:26:51) Linked Lists 🔗 #6 (00:40:14) Dynamic Arrays 🌱 #7 (01:04:37) LinkedLists vs ArrayLists 🤼‍♂️ #8 (01:13:07) Big O notation 📈 #9 (01:19:32) Linear search ⬇️ #10 (01:23:13) Binary search 🪓 #11 (01:32:44) Interpolation search ❓ #12 (01:41:05) Bubble sort 🤿 #13 (01:48:14) Selection sort 🔦 #14 (01:56:35) Insertion sort 🧩 #15 (02:03:40) Recursion 😵 #16 (02:11:58) Merge sort 🔪 #17 (02:25:07) Quick sort ⚡ #18 (02:38:57) Hash Tables #️⃣ #19 (02:52:21) Graphs intro 🌐 #20 (02:57:39) Adjacency matrix ⬜ #21 (03:07:30) Adjacency list 📑 #22 (03-15:59) Depth First Search ⬇️ #23 (03:23:40) Breadth First Search ↔️ #24 (03:30:20) Tree data structure intro 🌳 #25 (03:33:14) Binary search tree 🔍 #26 (03:53:38) Tree traversal 🧗 #27 (03:57:35) Calculate execution time ⏱️