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Mastering Data Structures and Sorting Algorithms in JavaScript

Master data structures and sorting algorithms in JavaScript to enhance programming efficiency and software development skills.

Beginner

61 Lessons

Certificate of Completion

Master data structures and sorting algorithms in JavaScript to enhance programming efficiency and software development skills.

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Course Overview

Course Content

Course Overview

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,...Show More

Course Content

Big-O Notation

6 Lessons

Learn how to use Big-O notation to assess algorithm efficiency across varying complexities.

Introduction to Time Complexity - Big O

Constant Complexity - O(1)

Linear Complexity - O(n)

Quadratic Complexity - O(n^2)

Logarithmic Complexity - O(log(n))

Exponential Complexity - O(2^n)

Data Structures

1 Lessons

Look at essential data structures for effective algorithm development in JavaScript.

Introduction to Data Structures

Stacks

3 Lessons

Go hands-on with implementing and understanding stacks in JavaScript, including time complexity.

Introduction to Stacks

Stacks (Implementation)

Stacks (Time Complexity)

Queues

3 Lessons

Break down the steps to understand, implement, and analyze the time complexity of queues in JavaScript.

Introduction to Queues

Queues (Implementation)

Queues (Time Complexity)

Linked Lists

5 Lessons

Take a closer look at linked list types, implementations, operations, and their complexities.

Singly Linked List

Singly Linked List (Implementation)

Doubly Linked List

Doubly Linked List (Implementation)

Linked List (Time Complexity)

Binary Search Tree

8 Lessons

See how it works to organize, implement, and traverse binary search trees efficiently.

Introduction to Binary Search Tree

Binary Search Tree (Implementation)

Insertion in Binary Search Tree

Deletion in Binary Search Tree

Traversing a Binary Search Tree

Depth First Traversal

Breadth-first Traversal

Binary Search Tree (Time Complexity)

Hash Table

3 Lessons

Master the steps to implement, understand, and evaluate the performance of hash tables.

Introduction to Hash Table

Hash Table (Implementation)

Hash Table (Time Complexity)

Graphs

4 Lessons

Learn how to use graphs, their implementation, and traversal techniques in JavaScript.

Introduction to Graphs

Graphs (Implementation)

Graphs (Depth-first traversal)

Graphs (Breadth-first traversal)

Sorting Algorithms

1 Lessons

Look at essential sorting algorithms to efficiently order items and enhance performance.

Introduction to Sorting Algorithms

10.

Bubble Sort

3 Lessons

Break apart Bubble Sort, implementation techniques, and time complexity analysis.

Introduction to Bubble Sort

Bubble Sort (Implementation)

Bubble Sort (Time Complexity)

11.

Insertion Sort

3 Lessons

Break down the steps to implement and optimize Insertion Sort efficiently.

Introduction to Insertion Sort

Insertion Sort (Implementation)

Insertion Sort (Time Complexity)

12.

Merge Sort

3 Lessons

Dig into Merge Sort, its implementation, time complexity, and space complexity.

Introduction to Merge Sort

Merge Sort (Implementation)

Merge Sort (Time Complexity)

13.

Quicksort

3 Lessons

See how it works to efficiently sort arrays using quicksort, a recursive, in-place algorithm.

Introduction to Quicksort

Quicksort (Implementation)

Quicksort (Time Complexity)

14.

Selection Sort

3 Lessons

Piece together the parts of Selection Sort, implementation, and its time complexity in JavaScript.

Introduction to Selection Sort

Selection Sort (Implementation)

Selection Sort (Time Complexity)

15.

Counting Sort

3 Lessons

Learn how to use Counting Sort for efficient and effective data sorting in JavaScript.

Introduction to Counting Sort

Counting Sort (Implementation)

Counting Sort (Time Complexity)

16.

Bucket Sort

3 Lessons

Walk through the steps of bucket sort, its implementation, and time complexity.

Introduction to Bucket Sort

Bucket Sort (Implementation)

Bucket Sort (Time Complexity)

17.

Radix Sort

3 Lessons

Go hands-on with Radix Sort, its implementation details, and performance analysis.

Introduction to Radix Sort

Radix Sort (Implementation)

Radix Sort (Time Complexity)

18.

Heap Sort

3 Lessons

Break down complex ideas behind heap sort using binary heaps, heapification, and time complexity.

Introduction to Heap Sort

Heap Sort (Implementation)

Heapsort (Time Complexity)

Course Author

Lydia Hallie

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Frequently Asked Questions

What will I learn from this course?

You’ll learn to implement and optimize data structures and sorting algorithms using JavaScript.

What kind of data structures are covered?

The course covers trees, graphs, heaps, and linked lists.

Why are sorting algorithms important for JavaScript developers?

Sorting algorithms help optimize performance and resource usage, which is key to excelling in software development.

What practical applications will I be able to solve after completing the course?

You can select the most appropriate data structure and algorithm for real-world software problems.

Does the course include hands-on coding exercises?

Yes, the course provides interactive coding exercises to solidify your understanding.

What are the main sorting algorithms covered?

The course covers algorithms like Quick Sort, Merge Sort, and Bubble Sort, along with their time complexities.