# Leetcode Questions Solutions Explained

Solving Microsoft, Google, Airbnb, Uber, Amazon interview questions
New
Rating: 4.7 out of 5 (5 ratings)
1,360 students
Leetcode Questions Solutions Explained
New
Rating: 4.7 out of 5 (5 ratings)
1,360 students
Solving technical questions asked by major tech companies during interviews.

## Requirements

• It would be nice to know data structures and algorithms. Heaps, queues, stacks, Linked Lists, trees etc.

## Description

I am solving and explaining Microsoft, Google, Airbnb, Uber, Amazon interview questions, I believe this will be helpful for your technical interview preparation. This course will help you understand the logic of solving the questions rather than memorizing the algorithms. I am explaining each question on a whiteboard and try to make sense. I hope you will find this course helpful.

## Who this course is for:

• People who are looking to pass Major tech companies interviews.

## Course content

1 section • 14 lectures • 1h 59m total length
• Detect Capital | Leetcode 520
07:22
• Sort Array By Parity II | Leetcode 922
07:20
• Palindrome Number | Leetcode 9
09:30
• Longest Substring Without Repeating Characters | Leetcode 3
07:40
• Missing Number | Leetcode 268
03:59
• Partition List | Leetcode 86
08:53
• Minimum Path Sum | Leetcode 64
11:37
• First Unique Character in a String | Leetcode 387
06:20
• Repeated DNA Sequences | Leetcode 187
07:02
• Linked List Cycle II | Leetcode 142
09:57
• Remove Duplicates from Sorted List II | Leetcode 82
09:23
• Merge k Sorted Lists | Leetcode 23
08:44
• Merge Intervals | Leetcode 56
11:42
• Remove Element | Leetcode 27
09:53

## Instructor

Programmershine
• 4.7 Instructor Rating
• 7 Reviews
• 2,738 Students
• 3 Courses

Dear students,

After spending 16 years in the IT industry as a programmer I decied to move to Education field. I worked for small and large size well known global brands for 10 years while I was in the UK. Now I do my training videos on Programming Data Structures and Algorithms, iOS and Swift Development, Machine Learning and Deep Learning, Drone technology.