This course provides a thorough exploration of essential algorithmic techniques fundamental in programming. It covers deep understanding of big-O notation, which is a crucial concept for evaluating the efficiency and performance of algorithms, in C++, Java, and Python

In this course, you’ll delve into different algorithmic strategies i.e. greedy algorithms, divide-and-conquer, and dynamic programming. Next, you will become proficient in testing and debugging the code. The solutions will be rigorously examined by our automated grading system, which employs a diverse set of test cases. Throughout the course, you’ll be presented with popular algorithmic problems frequently encountered in technical interviews.

Additionally, the course prepares the reader for coding interviews by presenting popular algorithmic problems encountered in technical assessments. Tackling these challenges head-on equips learners with the skills and confidence needed to excel in technical interviews within the field of computer science.