Packt

Foundations of Data Structures and Algorithms in JavaScript

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Packt

Foundations of Data Structures and Algorithms in JavaScript

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand time and space complexity to analyze algorithms.

  • Implement and manipulate arrays, linked lists, stacks, and hash tables in JavaScript.

  • Solve Leetcode problems using different data structures and algorithms.

  • Analyze and implement sorting algorithms, recursion, and more advanced topics.

Details to know

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Recently updated!

May 2026

Assessments

8 assignments

Taught in English

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This course is part of the Data Structures & Algorithms in JavaScript Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 7 modules in this course

In this module, we will cover the basics of Leetcode, offering you a structured approach to mastering problem-solving. You will understand the fundamentals of building a solid foundation in coding interviews and get equipped with the necessary tools to start solving Leetcode problems. This section sets the stage for success in technical interviews and competitive programming.

What's included

1 video2 readings

In this module, we will dive deep into the critical aspects of algorithm analysis. We will introduce you to time and space complexity, explore Big O Notation, and provide hands-on examples for better understanding. By the end, you will be confident in evaluating algorithm performance and solving real-world interview problems.

What's included

11 videos1 assignment

In this module, we will cover the theoretical aspects of arrays, their benefits, and drawbacks. You will gain insight into dynamic resizing and its impact on performance. With practical Leetcode problems, this section will help you solidify your understanding of arrays and their applications in coding challenges.

What's included

13 videos1 assignment

In this module, we will focus on sorting algorithms, covering their theory, implementation, and complexity analysis. From simple bubble sort to more advanced merge and quicksort techniques, this section includes practical exercises to help you master sorting concepts and solve related Leetcode problems.

What's included

21 videos1 assignment

In this module, we will explore the fundamentals of linked lists, their structure, and how to efficiently perform operations such as insertion, deletion, and traversal. This section also includes practice problems from Leetcode, where you will apply your knowledge to real-world challenges.

What's included

15 videos1 assignment

In this module, we will introduce you to hash tables, an essential data structure for fast lookups and efficient problem-solving. You will explore their implementation and advantages, followed by practice problems from Leetcode to strengthen your understanding of hash table concepts.

What's included

9 videos1 assignment

In this module, we will focus on stacks, a crucial data structure for problems that follow the Last In First Out (LIFO) principle. You will learn both array-based and linked list-based stack implementations and solve various Leetcode problems to reinforce your learning.

What's included

8 videos1 reading3 assignments

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