Algorithms and Problem-Solving in JavaScript

Overview

This course 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. Learn the foundations of algorithms and problem-solving techniques in JavaScript through hands-on exercises and real-world examples. This course begins with the basic concepts of algorithms, like reversing strings, factorial calculations, and finding the smallest number in nested arrays. You'll move through intermediate topics like solving anagrams, using the reduce() method, and implementing recursive solutions. By applying these techniques to practical problems, you’ll become proficient at developing efficient algorithms. As you progress, you will tackle more complex challenges, including sorting algorithms, palindrome checking, and solving LeetCode problems like "Trapping Rainwater." The course also covers essential topics like Big O notation and time complexity, which are critical for optimizing algorithm performance. Each video is designed to help you develop problem-solving skills, debug efficiently, and think critically about optimizing your code. This course is aimed at intermediate developers who already have a basic understanding of JavaScript. If you're looking to strengthen your algorithmic thinking and prepare for coding interviews, this course will help you build those skills. While no advanced algorithm experience is required, familiarity with basic JavaScript concepts is beneficial. By the end of the course, you will be able to solve complex problems using JavaScript, understand the performance of algorithms using Big O notation, and confidently apply algorithmic thinking in coding interviews.

Syllabus

Algorithms - Basics and Fundamentals to Intermediate

In this module, we will explore the fundamentals of algorithms, from string reversal to advanced problem-solving techniques. You'll learn how to apply algorithms to manipulate data, calculate factorials, and solve real-world challenges such as finding the longest word or truncating text. As you work through the exercises, you’ll build essential problem-solving skills crucial for tackling coding interviews and technical challenges.

Algorithms and Data Structures - Intermediate to Advanced

In this advanced module, you will dive into higher-level algorithms and data structures. You’ll tackle complex problems using recursion, callbacks, and regular expressions. Through detailed examples and solutions, you will learn how to optimize code performance, analyze algorithm efficiency, and apply these concepts to real-world scenarios like building an array calculator or solving LeetCode interview challenges. This section is designed to prepare you for tackling complex coding interviews and real-world application development.