Data structures and algorithms are patterns for solving problems. Developers who know more about data structures and algorithms are better at solving problems. That’s why companies like Google, Microsoft and Amazon always include interview questions on data structures and algorithms. They want to assess your problem-solving skills. They don't care how many programming languages and frameworks you're familiar with.
The Ultimate Data Structures & Algorithms: Part 2
5h 56m 46s
English
Paid
By the end of this course…
You’ll be able to:
- Ace your next coding interview
- Write better, faster code
- Become a better developer
- Improve your problem solving skills
- Master computer science fundamentals
- Implement all the essential data structures from scratch
- Master dozens of popular algorithms
About the Author: Mosh Hamedani (Code with Mosh)
Mosh Hamedani is the founder of Code with Mosh, one of the highest-volume independent online instructors in software education. He has been publishing courses continuously since the early Udemy era and has taught over a million students across his Udemy catalog and his standalone Code with Mosh platform. His teaching style is patient, rigorously structured, and deliberately beginner-tolerant — the courses are widely cited as some of the most accessible introductions to their respective topics.
The Code with Mosh catalog covers an unusually wide span: web development with HTML / CSS / JavaScript / React / Angular / Node.js, Python and Django, C# and .NET, mobile development with React Native and Flutter, SQL and database fundamentals, and the algorithm / data-structure interview prep tracks. Few independent instructors maintain this much breadth at consistent quality.
The CourseFlix listing under this source carries over 35 Code with Mosh courses spanning that range. Material is paid; Code with Mosh runs on per-course pricing on the original platform. Courses are aimed primarily at developers picking up a new technology from a clean start through to working production proficiency.
Watch Online 94 lessons
0:00
/ #1: Introduction
All Course Lessons (94)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Introduction Demo | 00:51 | |
| 2 | Introduction | 00:56 | |
| 3 | What are Trees | 05:37 | |
| 4 | Exercise- Building a Tree | 02:42 | |
| 5 | Solution- insert() | 07:45 | |
| 6 | Solution- find() | 02:01 | |
| 7 | Traversing Trees | 05:59 | |
| 8 | Recursion | 05:40 | |
| 9 | Depth First Traversals | 05:24 | |
| 10 | Depth and Height of Nodes | 07:07 | |
| 11 | Minimum Value in a Tree | 07:38 | |
| 12 | Exercise- Equality Checking | 00:46 | |
| 13 | Solution- Equality Checking | 04:09 | |
| 14 | Exercise- Validating Binary Search Trees | 04:15 | |
| 15 | Solution- Validating Binary Search Trees | 04:19 | |
| 16 | Exercise- Nodes at K Distance | 01:49 | |
| 17 | Solution- Nodes at K Distance from the Root | 04:38 | |
| 18 | Level Order Traversal | 02:56 | |
| 19 | Summary | 01:23 | |
| 20 | Introduction | 00:32 | |
| 21 | Balanced and Unbalanced Trees | 03:02 | |
| 22 | Rotations | 05:03 | |
| 23 | AVL Trees | 04:05 | |
| 24 | Exercise- Building an AVL Tree | 01:12 | |
| 25 | Solution- insert() | 08:48 | |
| 26 | Exercise- Height Calculation | 01:25 | |
| 27 | Solution- Height Calculation | 02:44 | |
| 28 | Exercise- Balance Factor | 02:05 | |
| 29 | Solution- Balance Factor | 04:02 | |
| 30 | Exercise- Detecting Rotations | 02:55 | |
| 31 | Solution- Detecting Rotations | 03:34 | |
| 32 | Exercise- Implementing Rotations | 03:52 | |
| 33 | Solution- Implementing Rotations | 05:41 | |
| 34 | Summary | 01:02 | |
| 35 | Introduction | 00:22 | |
| 36 | What are Heaps | 06:29 | |
| 37 | Exercise- Building a Heap | 01:56 | |
| 38 | Solution- insert() | 08:25 | |
| 39 | Solution- remove() | 07:08 | |
| 40 | Solution - Edge Cases | 06:12 | |
| 41 | Heap Sort | 02:30 | |
| 42 | Priority Queues | 05:05 | |
| 43 | Exercise- Heapify | 01:27 | |
| 44 | Solution- Heapify | 07:13 | |
| 45 | Solution- Optimization | 02:43 | |
| 46 | Exercise- Kth Largest Item | 00:32 | |
| 47 | Solution- Kth Largest Item | 03:48 | |
| 48 | Summary | 01:20 | |
| 49 | Introduction | 00:31 | |
| 50 | What are Tries | 03:51 | |
| 51 | What are Tries | 03:04 | |
| 52 | Solution- Building a Trie | 05:45 | |
| 53 | An Implementation with a HashTable | 01:51 | |
| 54 | A Better Abstraction | 05:29 | |
| 55 | Exercise- Looking Up a Word | 01:13 | |
| 56 | Solution- Looking Up a Word | 02:36 | |
| 57 | Traversals | 03:36 | |
| 58 | Exercise- Removing a Word | 01:54 | |
| 59 | Solution- Removing a Word | 08:15 | |
| 60 | Exercise- Auto Completion | 02:52 | |
| 61 | Solution- Auto Completion | 06:00 | |
| 62 | Summary | 00:46 | |
| 63 | Introduction | 00:27 | |
| 64 | What are Graphs | 02:10 | |
| 65 | Adjacency Matrix | 04:15 | |
| 66 | Adjacency List | 06:33 | |
| 67 | Exercise- Building a Graph | 01:51 | |
| 68 | Solution- Adding Nodes and Edges | 07:35 | |
| 69 | Solution- Removing Nodes and Edges | 04:49 | |
| 70 | Traversal Algorithms | 03:59 | |
| 71 | Exercise- Depth-first Traversal (Recursive) | 01:30 | |
| 72 | Solution- Depth-first Traversal (Recursive) | 03:45 | |
| 73 | Exercise- Depth-first Traversal (Iterative) | 02:45 | |
| 74 | Solution- Depth-first Traversal (Iterative) | 04:00 | |
| 75 | Exercise- Breadth-first Traversal (Iterative) | 01:19 | |
| 76 | Solution- Breadth-first Traversal | 02:42 | |
| 77 | Exercise- Topological Sorting | 05:07 | |
| 78 | Solution- Topological Sort | 04:06 | |
| 79 | Exercise- Cycle Detection (Directed Graphs) | 03:43 | |
| 80 | Solution- Cycle Detection (Directed Graphs) | 06:27 | |
| 81 | Graphs Summary | 01:03 | |
| 82 | Introduction | 00:27 | |
| 83 | Exercise- Weighted Graphs | 01:31 | |
| 84 | Solution- Weighted Graphs | 05:21 | |
| 85 | An Object-oriented Solution | 06:14 | |
| 86 | Dijkstra's Shortest Path Algorithm | 04:36 | |
| 87 | Exercise- Getting the Shortest Distance | 06:09 | |
| 88 | Solution- The Shortest Distance | 05:28 | |
| 89 | Solution- Shortest Path | 07:54 | |
| 90 | Exercise- Cycle Detection (Undirected Graphs) | 02:04 | |
| 91 | Solution- Cycle Detection (Undirected Graphs) | 04:43 | |
| 92 | Minimum Spanning Tree | 01:57 | |
| 93 | Exercise- Prim's Algorithm | 02:46 | |
| 94 | Solution- Prim's Algorithm | 10:40 |
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Frequently asked questions
What is The Ultimate Data Structures & Algorithms: Part 2 about?
Data structures and algorithms are patterns for solving problems. Developers who know more about data structures and algorithms are better at solving problems. That’s why companies like Google, Microsoft and Amazon always include…
Who teaches this course?
It is taught by Mosh Hamedani (Code with Mosh). You can find more courses by this instructor on the corresponding source page.
How long is the course?
It contains 94 lessons with a total runtime of 5 hours 56 minutes. Every lesson is available to watch online at your own pace.
Is it free to watch?
It is part of CourseFlix's premium catalog. A subscription unlocks the full video player; the course description, table of contents, and preview information are available to everyone.
Where can I watch it online?
The course is available to watch online on CourseFlix at https://courseflix.net/course/the-ultimate-data-structures-algorithms-part-2. The page hosts every lesson with the integrated video player; no download is required.