10 popular coding interview problems
10 popular coding interview problems, available at Free, has an average rating of 4.35, with 12 lectures, based on 41 reviews, and has 4840 subscribers.
You will learn about Solve the Valid anagram problem Solve the First and last index problem Solve the Kth largest element problem Solve the Course schedule problem This course is ideal for individuals who are People preparing for coding interviews or Competitive programmers or People who want to increase their problem-solving skills It is particularly useful for People preparing for coding interviews or Competitive programmers or People who want to increase their problem-solving skills.
Enroll now: 10 popular coding interview problems
Summary
Title: 10 popular coding interview problems
Price: Free
Average Rating: 4.35
Number of Lectures: 12
Number of Published Lectures: 12
Number of Curriculum Items: 12
Number of Published Curriculum Objects: 12
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- Solve the Valid anagram problem
- Solve the First and last index problem
- Solve the Kth largest element problem
- Solve the Course schedule problem
Who Should Attend
- People preparing for coding interviews
- Competitive programmers
- People who want to increase their problem-solving skills
Target Audiences
- People preparing for coding interviews
- Competitive programmers
- People who want to increase their problem-solving skills
Preparing for coding interviews? Competitive programming? Then this course will help you for sure: 10 well-chosen problems to increase your problem-solving skills!
Problems covered:
1- Valid anagram (Related topic(s): String, Sorting, Hash table)
2- First and last position in a sorted array (Related topic(s): Array, Searching, Binary search)
3- Symmetric tree (Related topic(s): Binary tree, Depth-first search)
4- Kth largest element in an array (Related topic(s): Array, Sorting, Priority queue, Heap)
5- Generate parentheses (Related topic(s): Backtracking, Stack)
6- Course schedule (Related topic(s): Graph, Depth-first search, Breadth-first search, Topological sort)
7- Kth permutation (Related topic(s): Combinatorics, Math)
8- Gas station (Related topic(s): Array, Greedy)
9- Minimum window substring (Related topic(s): String, Sliding window)
10- Largest rectangle in histogram (Related topic(s): Array, Stack, Divide-and-conquer)
This course tries to explain the solutions to these problems in a visual way, as visualizing the different steps of an algorithm is a method that is preferred by a lot of students
This course also explains and provides the code in Python programming language, you will also find it under each lecture to be able to copy it and run it on your machine with different inputs
Also, before moving to the solution, you will have the ability to try to solve the problem, a Python code editor will be available for you to write code and submit it to be tested on a bunch of testcases, I suggest you to do it before moving to the solution
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: Valid anagram
Lecture 1: Solution
Chapter 3: First and last position
Lecture 1: Solution
Chapter 4: Kth largest element
Lecture 1: Solution
Chapter 5: Symmetric tree
Lecture 1: Solution
Chapter 6: Generate parentheses
Lecture 1: Solution
Chapter 7: Gas station
Lecture 1: Solution
Chapter 8: Course schedule
Lecture 1: Solution
Chapter 9: Kth permutation
Lecture 1: Solution
Chapter 10: Minimum window substring
Lecture 1: Solution
Chapter 11: Largest rectangle in histogram
Lecture 1: Solution
Chapter 12: Conclusion
Lecture 1: Conclusion
Instructors
-
Inside Code
Your algorithms and data structures content provider
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 1 votes
- 3 stars: 3 votes
- 4 stars: 12 votes
- 5 stars: 25 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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