Data structure and algorithms for interviews

Course Feature

Cost

Paid
Provider

Udemy
Certificate

Paid Certification
Language

English
Start Date

2023-03-14
Learners

No Information
Duration

No Information
Instructor

Avinash A

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4.4

11,010 Ratings

This course covers over 20+ of the most popular coding interview problems from a variety of topics. With the addition of 4 new problems every week, the course will have 200+ problems. It covers topics such as Merge Intervals, Two Pointers, Linked List Cycle, Bitwise Manipulation, Greedy Technique, Disjoint Sets, Topological Sort, Depth First Search, and more. It is perfect for those looking to brush up on their data structure and algorithm skills for interviews.

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Data structure and algorithms for interviews

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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 18th, 2023]

This course, Data Structure and Algorithms for Interviews, covers around 20+ most popular coding interview problems ranging from a variety of topics. It will have 200+ problems as 4 problems are being added every week. The topics include Merge Intervals, Two Pointers, Linked List, Bitwise Manipulation, Greedy Technique, Disjoint Sets, Island Patterns, Topological Sort, Depth First Search, Stacks, Queues, Binary Search, Backtracking, 1D Dynamic Programming, 2D Dynamic Programming, Cyclic Sort, Math Tricks, and Miscellaneous. The course will provide an in-depth understanding of the concepts and their applications. It will also help students to develop problem-solving skills and prepare for coding interviews.

Course Syllabus

Identifying Patterns in a Coding Interview

Merge Intervals

Two Pointers

Fast Slow Pointers

Bitwise Manipulation

Greedy

Island Patterns

Topological Sort

Depth First Search (DFS)

Bonus Section

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Pros & Cons

Good coverage of problem types
Slides and coding explanations

Incomplete course content
Limited coverage of hard problems

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