Algorithms for Coding Interviews

Published 05/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 86 lectures (6h 54m) | Size: 3 GB

with problems and solutions

What you’ll learn
Understand the inner working of the most common algorithms used in coding interviews
Identify which algorithm is a better fit depending on the problem
Improve your problem solving skills
Improve your interviewing skills

Requirements
Experience with any programming language

Description
What will you learn from the course?

By the end of the course, you will have a better idea of the type of problems asked in coding interviews and how to approach them to implement a viable solution.

You will also learn the most common algorithms used in coding interviews, and more importantly, when to use them.

You will improve your problem-solving skills and interviewing skills.

About the Instructor

David has more than 10 years of experience teaching the Algorithms Design and Analysis course at Universidad Panamericana. He has been involved in the ACM-ICPC programming team of the university as a contestant, coach, and advisor.

David is a Principal Software Engineer with more than 10 years of experience in the industry, having worked at Amazon and Oracle. He also has worked at Karat as a contractor to interview engineers for companies such as Roblox, Indeed, Walmart, Palantir, and others. He has interviewed hundreds of candidates during his trajectory and has participated as a problem setter for questions used in recruitment processes.

He is the founder of dnd-learning, where he creates educational content related to algorithms. He provides guidance and mentorship for coding interviews and constantly publishes material about algorithms and interviews. He is co-author of the book “Algorithms for Competitive Programming”.

Material

The slides of the course are available for download.

For each coding exercise in the course, it is provided the code with the implementation, and a document explaining the solution.

The coding questions are public to practice, and all of them have automated test cases.

Content of the Course

Introduction

Objectives

Motivation

Tools that will be used during the course

Complexity Analysis

Importance of identifying time and space complexity in an interview

Common types of complexities

Interview tips

Coding exercises

Data Structures I

Linear data structures: Vector, list, queue, and stack

Tree data structures

Interview tips

Coding exercises

Data Structures II

Hashing data structures

Interview tips

Coding exercises

Graphs

Definition

Types of graphs

Paths and cycles

Representation of a graph

Graph traversal

Interview tips

Coding exercises

Dynamic Programming

Definition

How to approach a problem with dynamic programming

Examples of DP problems

Interview tips

Coding exercises

Backtracking

Definition

How to implement a backtracking solution

When is a good idea to use backtracking

Example: Sudoku

Interview tips

Coding exercises

Who this course is for
New graduates and experienced engineers preparing for a coding interview

Algorithms for Coding Interviews

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