intermediate

Mastering Algorithms and Data Structures in JavaScript

Computer Programming

4 courses

65 practices

9 hours

This path is focused on helping you understand how to choose optimal algorithms and data structures for different problems, how to apply them, and how to understand their reasoning. Topics covered will include hash tables, recursion, and linked lists.

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4954 learners

Earn a shareable

Certificate of Achievement

Verified skills you'll gain

INTERMEDIATE

General Programming and Algorithms

DEVELOPING

Computer Science Fundamentals

Tools you'll use

JavaScript

Trusted by learners working at top companies

6 lessons

15 practices

Hashing, Dictionaries, and Sets in JS

Dive into Hashing, Maps, and Sets in JavaScript with this specialized course where you will explore their implementation, practical applications, and problem-solving methodology in algorithms. Acquire hands-on experience and become proficient in addressing data analysis and management challenges.

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7 lessons

25 practices

Sorting and Searching Algorithms in JS

This comprehensive course is specially designed to impart a fundamental and advanced understanding of sorting and searching algorithms. The course will guide you through different types and functionalities of these algorithms, their complexity analysis, and practical application in resolving complex programming problems.

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5 lessons

14 practices

Fundamental Data Structures - Stacks and Queues in JS

This advanced course delves deeper into the understanding and application of Stacks and Queues in JavaScript. It elucidates the concept, implementation, and complexities of these data structures, with hands-on practice of solving interview-based algorithmic coding problems.

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3 lessons

11 practices

Fundamental Data Structures - Linked Lists in JavaScript

This foundational course provides a deep dive into the understanding and application of Linked Lists in JavaScript. The course elucidates the inner workings, implementation, and complexities of Linked Lists, along with their versatility in solving interview-oriented algorithmic coding challenges.

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