Ultimate JavaScript Interview Course

Ultimate JavaScript Interview Course, available at $59.99, has an average rating of 4.9, with 243 lectures, based on 328 reviews, and has 12609 subscribers.

You will learn about Be incredibly well prepared for any javascript programming interviews you will have Excel in a wide variety of javascript interview questions that you could be asked in an interview Learn and understand how algorithms work and how to code them out Create your own, custom, algorithms that can perform whatever functionality you may need How to code out important data structures in JavaScript Manipulate data structures in your own, custom, ways for whatever suits your needs Improve the efficiency, performance, and scalability of your code, applications, and programs This course is ideal for individuals who are Anyone who is looking for a job as a programmer or Anyone who is looking for a job as a web developer or Anyone who will be interviewing for a programming or web developer job or Anyone who wants to strengthen their javascript skills and knowledge It is particularly useful for Anyone who is looking for a job as a programmer or Anyone who is looking for a job as a web developer or Anyone who will be interviewing for a programming or web developer job or Anyone who wants to strengthen their javascript skills and knowledge.

Enroll now: Ultimate JavaScript Interview Course

Summary

Title: Ultimate JavaScript Interview Course

Price: $59.99

Average Rating: 4.9

Number of Lectures: 243

Number of Published Lectures: 243

Number of Curriculum Items: 243

Number of Published Curriculum Objects: 243

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Be incredibly well prepared for any javascript programming interviews you will have

Excel in a wide variety of javascript interview questions that you could be asked in an interview

Learn and understand how algorithms work and how to code them out

Create your own, custom, algorithms that can perform whatever functionality you may need

How to code out important data structures in JavaScript

Manipulate data structures in your own, custom, ways for whatever suits your needs

Improve the efficiency, performance, and scalability of your code, applications, and programs

Who Should Attend

Anyone who is looking for a job as a programmer

Anyone who is looking for a job as a web developer

Anyone who will be interviewing for a programming or web developer job

Anyone who wants to strengthen their javascript skills and knowledge

Target Audiences

Anyone who is looking for a job as a programmer

Anyone who is looking for a job as a web developer

Anyone who will be interviewing for a programming or web developer job

Anyone who wants to strengthen their javascript skills and knowledge

Are you looking for a job as a JavaScript developer or software engineer?  This is the course for you!  This course is specifically designed to prepare you for any JavaScript coding interviews that you have coming up.  Programming interviews are known to be stressful and difficult, but they don’t have to be!  The key to succeeding in a coding interview is preparation.  This course will prepare you for coding interviews by teaching you the 3 most important aspects you need to know: Data Structures, Algorithms, and Practice Interview Questions.  Throughout this course you will learn how to code out all of these and more!  The data structures, algorithms, and interview questions that we will cover in this course come from real-life interviews at real companies.

The purpose of this course is not for you to memorize the exercises that we will be covering, but instead for you to gain a deep understanding about how the javascript code is working under-the-hood.  By really understanding how the code works you will be able to succeed in any interview questions that you may be asked in real life.  The purpose of this course is for you to learn the important skills, techniques, and concepts that will help you to excel in any real life interview questions that you are asked.  Some of the skills, techniques, and concepts that you will learn in this course are:

Algorithms

Data Structures

Real Interview Questions

Recursion & the Call Stack

Big O Notations

Memoization

Functional Programming

Variable and Function Hoisting

Global, function, & block scopes

Closures

Immediately Invoked Function Expressions (IIFEs)

Currying functions

Passing data by reference

The prototype object & constructor functions

The “this” keyword and it’s use cases

Temporary variables

Manipulating data types

The importance of “strict” mode

Object equivalency

Binary search (recursively)

Merge Sort & Bubble Sort

The Sieve of Eratosthenes

Caesar Cipher

Fibonacci

Inheritance in JavaScript

Binary Search Trees

Hash Tables

And much, much more

When you have completed this course you will have a great understanding of data structures, algorithms, and interview questions, but more importantly you will also have learned the concepts, skills, and techniques, that are necessary for you to excel in any other interview questions that you may be asked.  You will feel very confident going into any javascript interviews you will have.  I hope you enjoy the course!

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Course Introduction

Lecture 2: Course Layout

Chapter 2: Introduction to Data Structures and Important Concepts

Lecture 1: What Are Data Structures And Why Are They Important

Lecture 2: Constructor Functions and the this Keyword

Lecture 3: The Prototype Object

Chapter 3: Linked Lists

Lecture 1: What Is A Linked List?

Lecture 2: Linked List and Node Constructor Functions

Lecture 3: Add To Head – Part 1

Lecture 4: Add To Head – Part 2

Lecture 5: Using Add To Head

Lecture 6: Add To Tail

Lecture 7: Testing Add To Tail and Add To Head

Lecture 8: Remove Head

Lecture 9: Remove Tail

Lecture 10: Search Method

Lecture 11: Testing Search

Lecture 12: Linked List – Independent Exercise

Lecture 13: Linked List – Exercise Review

Lecture 14: Big O Notation and Calculating the Runtime of a Function

Lecture 15: Big O Notation & Runtime Source Code

Lecture 16: Linked List – Wrap-Up

Lecture 17: Linked List Source Code

Chapter 4: Binary Search Trees

Lecture 1: What Is A Binary Search Tree?

Lecture 2: Recursion Part 1

Lecture 3: Recursion Part 2 and the Call Stack

Lecture 4: Insert Method

Lecture 5: Testing Insert

Lecture 6: Contains Method

Lecture 7: Testing Contains

Lecture 8: Depth First Traversal – In-Order

Lecture 9: Testing Depth First Traversal In-Order

Lecture 10: Refactoring Depth First Traversal Method

Lecture 11: Depth First Traversal – Pre-Order

Lecture 12: Testing Depth First Traversal Pre-Order

Lecture 13: Depth First Traversal – Post-Order

Lecture 14: Breadth First Traversal – Part 1

Lecture 15: Breadth First Traversal – Part 2

Lecture 16: Testing Breadth First Traversal

Lecture 17: Binary Search Tree – Independent Exercise

Lecture 18: Binary Search Tree – Exercise Review

Lecture 19: Binary Search Tree – Wrap-Up

Lecture 20: Binary Search Tree Source Code

Chapter 5: Hash Tables

Lecture 1: What Is A Hash Table?

Lecture 2: Hash Table and Hash Node Constructor Functions

Lecture 3: CharCodeAt Method and Modulus Operator

Lecture 4: Hash Method

Lecture 5: Insert Method

Lecture 6: Testing Insert Method

Lecture 7: Refactoring Insert Method

Lecture 8: Testing Refactored Insert Method

Lecture 9: Get Method

Lecture 10: Testing Get Method

Lecture 11: Hash Table – Independent Exercise

Lecture 12: Hash Table – Exercise Review

Lecture 13: Hash Table – Wrap-Up

Lecture 14: Hash Table Source Code

Chapter 6: JavaScript Algorithms Introduction

Lecture 1: Introduction To Algorithms & Course Layout

Chapter 7: 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 8: 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 9: Is Palindrome

Lecture 1: Is Palindrome – Intro

Lecture 2: Is Palindrome – Code

Lecture 3: Is Palindrome – Testing

Lecture 4: Is Palindrome – Source Code

Chapter 10: Caesar Cipher

Lecture 1: Caesar Cipher – Intro

Lecture 2: Caesar Cipher – Code

Lecture 3: Caesar Cipher – Testing

Lecture 4: Caesar Cipher – Source Code

Chapter 11: Reverse Words

Lecture 1: Reverse Words – Intro

Lecture 2: Reverse Words – Code

Lecture 3: Reverse Words – Testing

Lecture 4: Reverse Words – Source Code

Chapter 12: 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 13: 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

Instructors

Eric Traub
Software Engineer and Instructor

Rating Distribution

1 stars: 4 votes

2 stars: 6 votes

3 stars: 18 votes

4 stars: 96 votes

5 stars: 204 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!