A Practical Guide to Algorithms with JavaScript

4 hours CC
A Practical Guide to Algorithms with JavaScript

Course Description

Bored by the academic approach of most data structures and algorithms courses? This is for you! You'll learn to solve algorithms and analyze space and time complexity in both an interview setting and in your day-to-day development. Following along with the course, you'll practice algorithms with common interview questions using a handful of algorithm techniques. Take a practical look at recursion and learn to optimize your solutions using divide-and-conquer. Implement merge sort and quicksort and understand tradeoffs of both approaches. Plus, get started with dynamic programming and memoization!

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Course Details

Published: June 5, 2018

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Table of Contents

Introduction

Section Duration: 4 minutes

Space & Time Complexity

Section Duration: 41 minutes

Optimization with Caching

Section Duration: 57 minutes

Recursion

Section Duration: 53 minutes

Divide & Conquer

Section Duration: 46 minutes

Greedy Algorithms

Section Duration: 21 minutes

Dynamic Algorithms

Section Duration: 16 minutes

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