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11 Essential Coding Interview Questions + Coding Exercises!

2 hours on-demand video

$ 16.99

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Brief Introduction

Learn 3 handy problem solving techniques. Get 11 hand-picked problems. Get ready for your next coding interview!

Description

As you prepare for your next coding interview, have you ever thought:

"I wish someone could just walk me through these problems and explain what’s going on."
"I wish there was a preselected set of the most important coding interview problems so I can practice them easily."

If so, this course is for you!

In this course:

First, I’m going to give you a few problem solving techniques you’ll be able to use right away in your next coding interview.
Then, I’m going to walk you through the 11 essential coding interview questions and their answers.
I’ve picked these particular questions because they are the types of questions that are asked most often in programming interviews.
I’m going to cover problems that use concepts such as arrays, strings, two-dimensional arrays, linked lists and trees.
You’ll get a coding exercise in Python and Java for each problem, so you can get feedback on your solution right away.
If you want to use any other language to follow this course, that’s fine too! Just remember to run your solution on your computer to make sure it works.

This course is intended for intermediate to advanced learners who are preparing for their software engineer programming interviews.

So, I’m going to assume that you’re already familiar with concepts such as:

Two dimensional arrays (which are simply arrays of arrays)
Breadth first search and depth first search
Linked lists and trees

If you think you’re ready for this course, watch the preview videos and see if you can solve those problems!

Requirements

Requirements
You should be familiar with at least one C-like programming language (could be Java, Python, C++, Ruby, JavaScript, etc.)
You should be familiar with basic data structures such as arrays, hash tables, linked lists, trees, and graphs
You should be familiar with the Big O notation

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