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

If an algorithm’s time complexity is constant, it means that it will always run in the same amount of time, no matter the input size. For example, if we want to get the first item of an array, it doesn’t matter how big the input size is.

It always takes the same amount of time to find the first element in the array. In a graph, it would look like this:

In the next lesson, I will talk about the linear time complexity of an algorithm.

An algorithm has constant time complexity if it takes the same time regardless of the number of inputs. (Reading time: under 1 minute)

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

Constant Complexity - O(1)