Learning Algorithms in JavaScript from Scratch

Learning Algorithms in JavaScript from Scratch, available at $54.99, has an average rating of 4.55, with 69 lectures, based on 1956 reviews, and has 21655 subscribers.

You will learn about Code out important algorithms in JavaScript Improve the efficiency, performance, and scalability of your code, applications, and programs Excel in technical engineering/programming interviews at both large companies and small companies Create your own, custom, algorithms that can perform whatever functionality you may need This course is ideal for individuals who are Anyone who wants to learn how to code out algorithms in JavaScript or Anyone who wants to learn how to implement algorithms in their applications or Anyone who is currently, or will be interviewing for engineering/developer roles and wants to be well prepared for technical interview questions or Anyone who already knows algorithms but needs a refresher or Anyone who wants to strengthen their computer science fundamentals It is particularly useful for Anyone who wants to learn how to code out algorithms in JavaScript or Anyone who wants to learn how to implement algorithms in their applications or Anyone who is currently, or will be interviewing for engineering/developer roles and wants to be well prepared for technical interview questions or Anyone who already knows algorithms but needs a refresher or Anyone who wants to strengthen their computer science fundamentals.

Enroll now: Learning Algorithms in JavaScript from Scratch

Summary

Title: Learning Algorithms in JavaScript from Scratch

Price: $54.99

Average Rating: 4.55

Number of Lectures: 69

Number of Published Lectures: 69

Number of Curriculum Items: 69

Number of Published Curriculum Objects: 69

Original Price: $159.99

Quality Status: approved

Status: Live

What You Will Learn

Code out important algorithms in JavaScript
Improve the efficiency, performance, and scalability of your code, applications, and programs
Excel in technical engineering/programming interviews at both large companies and small companies
Create your own, custom, algorithms that can perform whatever functionality you may need

Who Should Attend

Anyone who wants to learn how to code out algorithms in JavaScript
Anyone who wants to learn how to implement algorithms in their applications
Anyone who is currently, or will be interviewing for engineering/developer roles and wants to be well prepared for technical interview questions
Anyone who already knows algorithms but needs a refresher
Anyone who wants to strengthen their computer science fundamentals

Target Audiences

Anyone who wants to learn how to code out algorithms in JavaScript
Anyone who wants to learn how to implement algorithms in their applications
Anyone who is currently, or will be interviewing for engineering/developer roles and wants to be well prepared for technical interview questions
Anyone who already knows algorithms but needs a refresher
Anyone who wants to strengthen their computer science fundamentals

This course teaches algorithms in javascript from the ground up. Using algorithms in your programming allows you to improve the efficiency, performance, speed, and scalability of your code/applications/programs. You will learn what algorithms are, why they are important, and how to code them out in JavaScript. You will also learn other important programming concepts along the way such as functional programming, time complexity, recursion, and other important concepts, because you will be implementing them in the algorithms that you build throughout this course. This course also heavily uses diagrams and animations to help make understanding the material easier.

This course is also very good for anyone who is interviewing for developer/engineering jobs at both large and small companies. Interviewers will very often ask candidates to write algorithms out in code, and this course will prepare you very well to do that. If you have recently graduated from a coding bootcamp or are currently looking for a job, you will find this course to be beneficial. Knowing algorithms will absolutely help you to excel in technical interviews.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction to Algorithms & Course Layout

Chapter 2: Fizz Buzz

Lecture 1: Fizz Buzz – Intro

Lecture 2: Modulus Operator

Lecture 3: Fizz Buzz – Code

Lecture 4: Fizz Buzz – Testing

Lecture 5: Fizz Buzz – Source Code

Chapter 3: Harmless Ransom Note

Lecture 1: Harmless Ransom Note – Intro

Lecture 2: Time Complexity & Big O Notation

Lecture 3: Harmless Ransom Note – Code Part 1

Lecture 4: Harmless Ransom Note – Code Part 2

Lecture 5: Harmless Ransom Note – Testing

Lecture 6: Harmless Ransom Note – Source Code

Chapter 4: Is Palindrome

Lecture 1: Is Palindrome – Intro

Lecture 2: Is Palindrome – Code

Lecture 3: Is Palindrome – Testing

Lecture 4: Is Palindrome – Source Code

Chapter 5: Caesar Cipher

Lecture 1: Caesar Cipher – Intro

Lecture 2: Caesar Cipher – Code

Lecture 3: Caesar Cipher – Testing

Lecture 4: Caesar Cipher – Source Code

Chapter 6: Reverse Words

Lecture 1: Reverse Words – Intro

Lecture 2: Reverse Words – Code

Lecture 3: Reverse Words – Testing

Lecture 4: Reverse Words – Source Code

Chapter 7: Reverse Array In Place

Lecture 1: Reverse Array In Place – Intro

Lecture 2: Reverse Array In Place – Code

Lecture 3: Reverse Array In Place – Testing

Lecture 4: Reverse Array In Place – Source Code

Chapter 8: Mean Median Mode

Lecture 1: Mean Median Mode – Intro

Lecture 2: Mean Median Mode – Code Part 1

Lecture 3: Mean Median Mode – Code Part 2

Lecture 4: Mean Median Mode – Testing

Lecture 5: Mean Median Mode – Source Code

Chapter 9: Two Sum

Lecture 1: Two Sum – Intro

Lecture 2: Two Sum – Code

Lecture 3: Two Sum – Testing

Lecture 4: Two Sum – Source Code

Chapter 10: Binary Search

Lecture 1: Binary Search – Intro

Lecture 2: Introduction to Recursion & the Call Stack

Lecture 3: Binary Search – Code

Lecture 4: Binary Search – Testing

Lecture 5: Binary Search – Source Code

Chapter 11: Fibonacci

Lecture 1: Fibonacci – Intro

Lecture 2: Fibonacci – Code

Lecture 3: Fibonacci – Testing

Lecture 4: Fibonacci – Source Code

Chapter 12: Memoized Fibonacci

Lecture 1: Memoized Fibonacci – Intro

Lecture 2: Memoized Fibonacci – Code

Lecture 3: Memoized Fibonacci – Testing

Lecture 4: Memoized Fibonacci – Source Code

Chapter 13: Sieve of Eratosthenes

Lecture 1: Sieve of Eratosthenes – Intro

Lecture 2: Sieve of Eratosthenes – Code

Lecture 3: Sieve of Eratosthenes – Testing

Lecture 4: Sieve of Eratosthenes – Source Code

Chapter 14: Bubble Sort

Lecture 1: Bubble Sort – Intro

Lecture 2: Bubble Sort – Code

Lecture 3: Bubble Sort – Testing

Lecture 4: Bubble Sort – Source Code

Chapter 15: Merge Sort

Lecture 1: Merge Sort – Intro

Lecture 2: Merge Sort – Code

Lecture 3: Merge Sort – Animations

Lecture 4: Merge Sort – Testing

Lecture 5: Merge Sort – Source Code

Chapter 16: Max Stock Profit

Lecture 1: Max Stock Profit – Intro

Lecture 2: Max Stock Profit – Code

Lecture 3: Max Stock Profit – Testing

Lecture 4: Max Stock Profit – Source Code

Chapter 17: Next Steps

Lecture 1: Next Steps

Lecture 2: Data Structures Coupon

Instructors

Eric Traub
Software Engineer and Instructor

Rating Distribution

1 stars: 12 votes
2 stars: 32 votes
3 stars: 140 votes
4 stars: 573 votes
5 stars: 1199 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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