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

# Get and Search:
To get or search for a certain value, we’d have to walk over all the items in the queue. The time needed is directly proportional to the number of items in the queue.
# Insertion:
When we insert new data into the queue, we push it to the end of the queue. 
# Deletion:
Due to the internals of the JavaScript shift method, which walks over the entire array and returns the last item, the time complexity for deletion is linear. 
# Worst space:
The more items, the bigger the queue array.
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best, average and worst case time complexity of the various queue functions (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

Queues (Time Complexity)

Get and Search: