Crack Coding Interview Pattern: Sliding Window

Part of Series focused on solving 30 Sliding Window Pattern Problems asked on all Top Tech Coding Interviews

4.50 (1 reviews)
Udemy
platform
English
language
Software Engineering
category
instructor
Crack Coding Interview Pattern: Sliding Window
12
students
4 hours
content
Aug 2022
last update
$39.99
regular price

What you will learn

Solve Easy to Hard Difficulty problems using different data structures and algorithms

Breaking down the coding interview problems in a step by step, systematic manner and provided explanation, different approaches, pseudo code and python code

How to solve all possible types of problems asked by major tech companies that can be solved using Sliding window logic

Create logic building capability to solve coding interview problems efficiently

Why take this course?

It's usually difficult to start preparing for coding interviews immediately with limited knowledge of Data Structures and Algorithms. Through grinding on leetcode for FAANG interviews, candidates have started decoding the patterns behind the questions which instantaneously directs them to apply the most efficient logic interviewer is testing us on. Understanding the interview questions based on the patterns and practicing problems having the same patterns helps prepare for interviews faster, with less effort, more confidence, with less chance of forgetting and/or getting confused during the interviews. Interviewers usually test us on multiple patterns of coding interviews. This course covers one type of pattern where we discuss most types of problems that can be solved using sliding window. It’s a very common pattern asked in interview questions. The plan is to create a series of such courses which will cover all the patterns asked in the interview. Completing this course will strong foundation for sliding window. I have tried to make this course brief and have divided the course to 4 hours of video lectures and 4 hours of self-practice assignments, since there are quite a few patterns and candidate may not want to dedicate all time to learning just one pattern.

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4808924
udemy ID
7/31/2022
course created date
4/11/2023
course indexed date
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