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Mastering Data Structures and Sorting Algorithms in JavaScript

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.

4.5
61 Lessons
3h
Join 2.9 million developers at
Join 2.9 million developers at

Learning Roadmap

61 Lessons

3.

Stacks

Stacks

3 Lessons

3 Lessons

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

4.

Queues

Queues

3 Lessons

3 Lessons

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

5.

Linked Lists

Linked Lists

5 Lessons

5 Lessons

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

6.

Binary Search Tree

Binary Search Tree

8 Lessons

8 Lessons

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

7.

Hash Table

Hash Table

3 Lessons

3 Lessons

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

8.

Graphs

Graphs

4 Lessons

4 Lessons

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

10.

Bubble Sort

Bubble Sort

3 Lessons

3 Lessons

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

11.

Insertion Sort

Insertion Sort

3 Lessons

3 Lessons

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

12.

Merge Sort

Merge Sort

3 Lessons

3 Lessons

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

13.

Quicksort

Quicksort

3 Lessons

3 Lessons

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

14.

Selection Sort

Selection Sort

3 Lessons

3 Lessons

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

15.

Counting Sort

Counting Sort

3 Lessons

3 Lessons

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

16.

Bucket Sort

Bucket Sort

3 Lessons

3 Lessons

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

17.

Radix Sort

Radix Sort

3 Lessons

3 Lessons

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

18.

Heap Sort

Heap Sort

3 Lessons

3 Lessons

Break down complex ideas behind heap sort using binary heaps, heapification, and time complexity.
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Author NameMastering Data Structures andSorting Algorithms in JavaScript

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Developed by MAANG Engineers
ABOUT THIS COURSE
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.
ABOUT THE AUTHOR

Lydia Hallie

Software Developer

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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.