Free Coupon Code Solving LeetCode's Top Interview Questions in Java [2024] 100% OFF

Udemy Free coupon code for Solving LeetCode's Top Interview Questions in Java [2024] course taught by Mathew Younan, which has 52,110 students and is rated 4.4 out of 292 votes. This course is about 15 hour(s) in English and was updated on November 22, 2024. You can use this Udemy course with a free certificate and find the coupon at the bottom of this page.

Expand your knowledge of problem solving and impress your coding interviewers.

Welcome!

Hello everyone, and welcome to the course that will help you prepare for your coding interviews!

Specifically, we will be breaking down the problems of LeetCode's Top Interview Questions playlist. This playlist includes problems that are very commonly asked by interviewers from large tech companies such as Apple, Meta, Google, Uber, and many more! We will learn how to approach problems of all kinds, such as those consisting of Arrays, Strings, Linked Lists, Trees, Dynamic Programming, Design, Math, and general knowledge, while also learning useful concepts and tricks which will help when facing more difficult problems.

What is LeetCode?

Simply put, LeetCode is a large repository filled with interview questions asked by the top tech companies around the world (Google, Facebook, Amazon, and many more).

The main problem as a new user on LeetCode is that there are ENDLESS amounts of questions that you can find on there so you may not know which questions are the most common/beneficial to go over. This course's purpose is to provide a solution to this issue, as I go over the Top Inteview Questions recommended by LeetCode. If you are looking to ace your upcoming coding interview or even just to strengthen your problem solving skills, then look no further as you have found the one-stop-shop to become a problem solving machine.

Course Overview

For each problem in the playlist, I have a video dedicated to explaining the thought process in detail which will lead us to the most efficient solution, paired with a visual to aid in explaining the algorithm. After we understand the approach for the most efficient solution, I will translate the visual into Java code, breaking down every line as I code it. After the entire solution is implemented, we will analyze the time and space complexity of the solution.