Algorithms and Problem-Solving in JavaScript

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.