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:
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Algorithms
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Data Structures
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Real Interview Questions
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Recursion & the Call Stack
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Big O Notations
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Memoization
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Functional Programming
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Variable and Function Hoisting
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Global, function, & block scopes
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Closures
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Immediately Invoked Function Expressions (IIFEs)
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Currying functions
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Passing data by reference
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The prototype object & constructor functions
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The “this” keyword and it’s use cases
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Temporary variables
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Manipulating data types
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The importance of “strict” mode
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Object equivalency
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Binary search (recursively)
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Merge Sort & Bubble Sort
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The Sieve of Eratosthenes
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Caesar Cipher
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Fibonacci
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Inheritance in JavaScript
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Binary Search Trees
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Hash Tables
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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
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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!
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