What you'll learn
Important JavaScript Data Structures.
Make your code Clean and Effective.
Answers to all of the technical interview questions.
Use Data Structures like a Professional.
Use algorithms confidently.
Requirements
You have an attitude to learn and have fun
You want to learn JavaScript.
You want to learn about data structures.
You want to learn about algorithms.
Description
This course teaches data structures such as linked lists, binary search trees and hash tables from the ground up. Data structures allow you to improve the efficiency, performance, speed, and scalability of your code/programs/applications. You will learn what data structures 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 recursion, time complexity, the "this" keyword and the prototype object, since data structures use these concepts by their very nature. This course uses diagrams and animations to help make understanding the material easier and faster.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 data structures out in code, and this course will prepare you very well to do that. Besides that you'll learn about different algorithms that will be helpful to make your code more efficient and robust.This course is more suitable for JavaScript beginners, but if you already have some experience using this programming language but you don't know much about data structures and algorithms, don't be shy to join us and learn about them together with us! 
Overview
Section 1: Introduction to Course
Lecture 1 What you'll learn in this Course?
Lecture 2 What are Data Structures?
Lecture 3 Big O Notation
Section 2: Basics of Data Structures
Lecture 4 this Keyword
Lecture 5 Constructor Functions
Lecture 6 What is a Node?
Section 3: Linked List
Lecture 7 What is a Linked List?
Lecture 8 Head
Lecture 9 Insert
Lecture 10 Get
Lecture 11 Remove
Lecture 12 Big O Notation
Section 4: Hash Tables
Lecture 13 What is a Hash Table?
Lecture 14 Hash Function
Lecture 15 Insert
Lecture 16 Get
Lecture 17 Remove
Lecture 18 Big O Notation
Section 5: Binary Search Trees
Lecture 19 What is a Binary Search Tree?
Lecture 20 Recursion
Lecture 21 Insert
Lecture 22 Search
Lecture 23 Inorder Traversal
Lecture 24 Preorder Traversal
Lecture 25 Postorder Traversal
Beginner JavaScript Programmers.,JavaScript Programmers who want to learn something new.,JavaScript Programmers who are preparing for technical interviews.


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