Algorithms and Data Structures in Javascript (2020)

To get your dream job, you need to know how to solve whatever problem they have. In this course, you will learn how to do that.

Also, I believe that聽nobody聽has time for long and boring lectures, so in聽this class, I聽try to explain the聽important things聽in a聽fast and engaging聽way, so I won’t bore you to death.

We start off with聽Sorting algorithms:

– Selection Sort

– Bubble Sort

First there is the explenation lecture where you learn the idea behind an algorithm, then there is the implementation lecture, where we implement the algorithm in Javascript.

Then I show you how Recursion works, once again I try to explain what recursion means, then we implement some recursion algorithms and we use debugger to see how computer evaluates recursive functions.

Then we move on to recursive Sorting Algorithms

– Merge sort

– Quick sort

These algorithms are most commonly used. With each algorithm I explain the idea, then we implement the algorithm.

Once you learn sorting algorithms, we move on to Time Complexity:

– What is time Complexity

– Big O notation

I explain what is time complexity and why we need it, also, I will show you how to compare sorting algorithms, so that we can see which one is the “best”.

In this section you also find an article with a lot of problems, where you can train your problem solving skills.

After that we take a look at聽Data Structures, I聽choose In my opinion the best dat structures for you to learn the important concepts.

We start of with Tree Data Structures:

– Binary Search Tree

– AVL tree

You learn how these works and also how to implement them.

Then we take a look at Linked List, Stack, Tries and Hash Tables. Once again we implement all of these in Javascript.

I believe that learning and understanding these concepts will聽help you solve problems more efficiently.锟?/p>

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Say Hello 馃檪

Lecture 3: Install VisualStudio Code

Chapter 2: Simple Sorting Algorithms

Lecture 1: Problem Definition

Lecture 2: Selection Sort

Lecture 3: CODE: Selection Sort

Lecture 4: Bubble Sort

Lecture 5: CODE: Bubble Sort

Lecture 6: CODE: Bubble Sort #Challenge

Lecture 7: CODE: Bubble Sort #Solution

Chapter 3: Recursion

Lecture 1: What is Recursion?

Lecture 2: CODE: Recursion

Lecture 3: CODE: Recursion 2 (debugging)

Chapter 4: Advanced Sorting Algorithms

Lecture 1: Merge Sort

Lecture 2: CODE: Merge Sort

Lecture 3: Quick Sort

Lecture 4: CODE: Quick Sort

Lecture 5: CODE: Quick Sort #Challenge

Lecture 6: CODE: Quick Sort #Solution

Chapter 5: Time Complexity

Lecture 1: What is Time Complexity?

Lecture 2: Big O notation

Lecture 3: Compared Sorting Algorithms

Lecture 4: CODE: Comparing Sorting Algorithms

Lecture 5: PRACTICE: Simple Algorithms

Chapter 6: Tree Data Structures

Lecture 1: What is Data Structure?

Lecture 2: Binary Search Tree

Lecture 3: CODE: Binary Search Tree

Lecture 4: CODE: Binary Search Tree 2

Lecture 5: CODE: Binary Search Tree 3

Lecture 6: AVL Tree

Lecture 7: AVL Tree Insertion

Lecture 8: AVL Tree Deletion

Lecture 9: CODE: AVL Tree

Lecture 10: CODE: AVL Tree 2

Lecture 11: CODE: AVL Tree 3

Lecture 12: CODE: AVL Tree 4

Lecture 13: CODE: AVL Tree 5

Chapter 7: List

Lecture 1: Linked List

Lecture 2: CODE: Linked List

Chapter 8: Advanced Data Structures

Lecture 1: Trie

Lecture 2: CODE: Trie

Lecture 3: Hash Table

Lecture 4: CODE: Hash Table

Chapter 9: BONUS: Discounts to my other courses!

Lecture 1: BONUS: Discounts to my other courses!

Instructors

Lukes Programming School
Bestselling Instructor with over 150 000 Students

Rating Distribution

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!