The "Advanced Algorithms" course is a comprehensive guide to fundamental data structures and algorithms required to excel in technical interviews. This course is suitable for both beginners and those looking to deepen their knowledge of algorithms and data structures. Upon completion, you'll be well-prepared for successful technical interviews and proficient in solving a wide range of problems using advanced algorithms.
Advanced Algorithms
Advanced Algorithms is a 22-lesson 7 hours 36 minutes self-paced course by NeetCode. The "Advanced Algorithms" course is a comprehensive guide to fundamental data structures and algorithms required to excel in technical interviews.
Course facts
- Lessons
- 22
- Duration
- 7 hours 36 minutes
- Level
- All levels
- Language
- English
- Updated
- Instructor
- NeetCode
- Price
- Premium
Who teaches Advanced Algorithms? NeetCode
NeetCode (neetcode.io) is the technical-interview-preparation platform of Navi (formerly an engineer at Google), behind one of the larger DSA-focused YouTube channels online. NeetCode's distinctive contribution is the curated NeetCode 150 and NeetCode 250 problem lists — pattern-grouped sets of LeetCode questions that have become a default reference for engineers preparing for the algorithm portion of senior tech-company interviews.
The course catalog covers algorithms and data structures in depth, system design for senior interviews, the OOP / design-patterns material that shows up in low-level design rounds, and the broader interview-prep landscape. Material is taught in Python, Java, and JavaScript with the same problem solved across multiple languages.
The CourseFlix listing under this source carries 7 NeetCode courses spanning that range. Material is paid; NeetCode runs on per-course or membership pricing on the original platform. Courses are aimed at engineers preparing for technical interviews at large tech companies.
What lessons are included in Advanced Algorithms?
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | 0. Kadanes Algorithm Demo | 08:27 | |
| 2 | 1. Sliding Window Fixed Size | 21:42 | |
| 3 | 2. Sliding Window Variable Size | 16:04 | |
| 4 | 3. Two Pointers | 10:14 | |
| 5 | 4. Prefix Sums | 12:34 | |
| 6 | 5. Fast and Slow Pointers | 24:26 | |
| 7 | 6. Trie | 16:09 | |
| 8 | 7 - Union-Find | 20:22 | |
| 9 | 8 - Segment Tree | 27:15 | |
| 10 | 9 - Iterative DFS | 24:05 | |
| 11 | 10 - Two Heaps | 22:25 | |
| 12 | 11 - Subsets | 22:15 | |
| 13 | 12 - Combinations | 17:02 | |
| 14 | 13 - Permutations | 17:33 | |
| 15 | 14 - Dijkstra's | 22:45 | |
| 16 | 15 - Prim's | 23:53 | |
| 17 | 16 - Kruskal's | 11:20 | |
| 18 | 17 - Topological Sort | 30:05 | |
| 19 | 18 - 0 / 1 Knapsack | 28:15 | |
| 20 | 19 - Unbounded Knapsack | 29:58 | |
| 21 | 20 - LCS | 32:25 | |
| 22 | 21 - Palindromes | 16:56 |
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