This course introduces the fundamentals of programming problem-solving using Data Structures and Algorithms with JavaScript. It is designed for beginners who want to understand how algorithms work and how to measure their efficiency in real applications.
The course begins with a clear explanation of what algorithms are and why they are important in programming. You will learn how problems are broken down into step-by-step solutions that computers can execute efficiently.
Next, the course covers time and space complexity, helping you understand how much memory and processing power an algorithm requires. You will then learn Big-O notation, which is used to describe and compare algorithm performance in a standardized way.
The course also explains how common data types like objects and arrays behave in terms of complexity. After that, you explore basic mathematical algorithms, including Fibonacci sequences and factorial calculations, which are commonly used in programming exercises and interviews.
Each topic is explained with simple examples to help you build strong logical thinking skills. By the end of the course, you will understand the basics of algorithm design and be able to analyze simple JavaScript solutions effectively.
