This course introduces the fundamentals of algorithms using JavaScript, focusing on essential concepts required for programming interviews and problem-solving.
The course begins with an introduction to algorithms, explaining what they are and how they are used to solve computational problems efficiently. It builds a strong foundation for understanding structured thinking in programming.
It then covers time and space complexity, helping learners understand how to measure the efficiency of algorithms in terms of performance and memory usage. This is essential for writing scalable code.
A key topic in the course is Big O notation, which is explained as a standard way to describe how an algorithm performs as input size increases. It allows developers to compare different solutions and choose the most efficient one.
The course also introduces objects and arrays from a performance perspective, explaining how their operations behave in terms of Big O complexity.
By the end of this course, learners will have a solid understanding of JavaScript algorithms, complexity analysis, and core data structure behavior, enabling them to approach coding problems with better efficiency
