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
7h 36m 10s
English
Paid
About the Author: 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.
Watch Online 22 lessons
0:00
/ #1: 0. Kadanes Algorithm
All Course Lessons (22)
| # | 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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Frequently asked questions
What prerequisites are needed to enroll in the Advanced Algorithms course?
The course is designed for both beginners and those looking to deepen their understanding of algorithms and data structures. However, a basic understanding of programming concepts and familiarity with at least one programming language is recommended to follow the lessons effectively.
What types of projects or exercises will I work on during the course?
Students will engage in problem-solving exercises involving fundamental data structures and algorithms. Lessons cover practical applications such as implementing Kadanes Algorithm, working with Trie structures, and solving knapsack problems. These exercises aim to enhance problem-solving skills needed for technical interviews.
Who is the target audience for this course?
The course is intended for individuals preparing for technical interviews who wish to strengthen their algorithm and data structure skills. It is suitable for beginners and those seeking to expand their existing knowledge base in algorithmic problem-solving.
What specific tools or algorithms will the course cover?
The course covers a variety of algorithms and data structures, including Kadanes Algorithm, Sliding Window techniques, Tries, Union-Find, Segment Trees, Dijkstra's, Prim's, and Kruskal's algorithms. This comprehensive coverage ensures students gain a robust understanding of essential concepts.
What is not covered in the Advanced Algorithms course?
The course focuses on algorithms and data structures relevant to technical interviews. It does not cover advanced topics like machine learning algorithms, databases, or specific programming language syntax. Students will need to seek additional resources for topics beyond the scope of technical interview preparation.
How much time should I expect to commit to this course?
The course consists of 22 lessons. While the total runtime is not specified, students should allocate additional time for practicing exercises and reviewing each lesson. A consistent study schedule is recommended to thoroughly grasp the material.
How will the skills learned in this course be applicable to my career?
The skills gained from this course are directly applicable to technical interviews, a crucial step in many tech careers. Mastery of algorithms and data structures will not only aid in interviews but also enhance problem-solving capabilities in software development roles, making candidates more competitive in the job market.