70+ JavaScript Challenges - Data Structures and Algorithms

Packt via Coursera

Go to class Write review

Details

Go to class

Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Paid Certificate Available
Duration & workload

19 hours 7 minutes
Sessions

On-Demand
Subtitles

English

Found in

Overview

Coursera Flash Sale

40% Off Coursera Plus for 3 Months!

Grab it

Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Master JavaScript data structures and algorithms through 70+ hands-on coding challenges. This course takes a practical approach, helping you strengthen your problem-solving skills while improving your coding efficiency. You'll work through real-world scenarios, from basic string manipulations to advanced graph traversals, developing a deep understanding of algorithmic thinking. The journey begins with fundamental concepts, such as recursion and higher-order functions, before progressing to essential data structures like stacks, queues, linked lists, hash tables, and binary trees. You'll implement each concept through interactive challenges that reinforce learning. You'll also explore time and space complexity, ensuring you write optimized code. As you advance, you'll tackle graph algorithms, sorting techniques, and in-depth exercises on searching and traversal methods. With each challenge, you'll enhance your ability to write efficient JavaScript code while developing key skills needed for coding interviews and technical assessments. This course is ideal for JavaScript developers, coding enthusiasts, and those preparing for technical interviews. A basic understanding of JavaScript syntax is recommended, but no prior experience in data structures and algorithms is required. Whether you're a beginner looking to level up or an intermediate developer sharpening your skills, this course will take your coding expertise to new heights.

Syllabus

Introduction

In this module, we will lay the foundation for your journey into Data Structures and Algorithms. You'll gain insight into the importance of DSA, understand how the course is structured, and set up the essential tools needed to begin coding efficiently.

Basic Challenges Part 1

In this module, we will tackle beginner-friendly coding challenges designed to build your confidence in programming. From basic arithmetic to string manipulations, these exercises will reinforce core concepts and set the stage for more advanced problem-solving.

Basic Challenges Part 2

In this module, we will take on a new set of engaging coding challenges that push your understanding further. From identifying unique characters in strings to simulating dice rolls, these exercises will strengthen your ability to break down problems and implement efficient solutions.

Higher Order Array Methods

In this module, we will dive into higher-order array methods to tackle more advanced coding challenges. Through tasks like analyzing data, validating inputs, and optimizing previous solutions, you'll learn how to write cleaner, more efficient code while solving practical problems.

Recursion

In this module, we will explore the power of recursion, breaking down complex problems into smaller, manageable subproblems. Through exercises like calculating factorials, flattening arrays, and generating permutations, you'll develop a deeper understanding of recursive thinking and its applications in programming.

Time and Space Complexity

In this module, we will break down the fundamental principles of algorithm efficiency. You'll explore different time complexities, understand how they impact performance, and learn strategies to write more optimized code. Through practical examples, you'll gain the skills to evaluate and enhance your algorithms effectively.

Hash Tables, Maps, and Sets

In this module, we will explore hash tables, maps, and sets—powerful data structures that enable fast lookups and unique value storage. Through hands-on challenges like implementing a phone directory, detecting anagrams, and constructing a custom hash table, you'll gain a deep understanding of how these structures optimize data processing.

Stacks, Queues, and Linked Lists

In this module, we will explore fundamental data structures that help manage data efficiently. You'll learn how stacks and queues handle elements in a structured manner, how linked lists provide dynamic memory allocation, and how to implement these structures through hands-on coding exercises. By the end, you'll be equipped to use these structures to solve a variety of computational problems.

Binary Trees, BST, and Graphs

In this module, we will explore tree-based and graph-based data structures, learning how they organize and connect data efficiently. You'll implement binary trees and BSTs, validate their integrity, and work with graphs using adjacency lists and matrices. Through traversal techniques, you'll gain a deeper understanding of how data moves through these structures.

Sorting Algorithms

In this module, we will explore essential sorting algorithms, ranging from simple comparison-based methods to more advanced divide-and-conquer strategies. You'll implement each algorithm step by step, gaining insights into their efficiency and practical applications in organizing and processing data.

Wrap Up

In this module, we will consolidate everything you've learned, revisiting key takeaways and practical applications. You'll gain insights on how to continue honing your skills, tackling more advanced challenges, and applying DSA concepts in real-world scenarios.