Gain insights into efficient algorithm creation with JavaScript. Delve into data structures and sorting algorithms, including Trees, Graphs, Heaps, and Linked lists, optimizing space and time.

Are you ready to become a top-notch JavaScript developer? Understand two of the most important concepts in programming - Data Structures & Sorting Algorithms.

Learn to make efficient algorithms that save space and time if you want to excel in the field of software development. Take this interactive course to find out how to employ the most effective data structure in any scenario. This course covers sorting algorithms and their time complexity using JavaScript along with various data structures like Trees, Graphs, Heaps, Linked lists  and many more.

Mastering Data Structures and Sorting Algorithms in JavaScript

As quicksort doesn’t use any space, it’s a **in-place sorting algorithm**. The way quicksort works is by choosing a **pivot** (an element in the array, often random), and check whether values in the array are higher or lower than that pivot. The values lower than the pivot should be on the left side, and the values higher than the pivot should be on the right side! 

This algorithm sorts a list by choosing a pivot and comparing each element to that pivot. (Reading time: )

Big-O Notation

Data Structures

Stacks

Queues

Linked Lists

Binary Search Tree

Hash Table

Graphs

Sorting Algorithms

Bubble Sort

Insertion Sort

Merge Sort

Quicksort

Selection Sort

Counting Sort

Bucket Sort

Radix Sort

Heap Sort

Introduction to Quicksort