This four-hour course, Recognize Popular Data Structures and Algorithms, delves into the foundational elements that underpin most computer programs. By familiarizing yourself with common data structures such as linked lists, stacks, queues, and trees, as well as implementing popular algorithms like Depth First Search, Breadth First Search, Bubble sort, Merge sort, and Quicksort, you will gain a comprehensive understanding of the inner workings of computer interactions. In addition to theoretical knowledge, this course emphasizes practical application. You will learn to identify data structures and algorithms in everyday scenarios, such as decks of cards, music playlists, international dishes, and stacks of books. By honing your ability to recognize these elements and implement them in day-to-day applications, you will enhance your problem-solving skills. Furthermore, this course offers an opportunity to analyze the efficiency of algorithms. You will explore the concept of Big O Notation, the industry standard for describing algorithm complexity. Through this analysis, you will gain insights into the efficiency and performance of popular algorithms. To facilitate your learning journey, this course focuses on Python programming. By sharpening your Python skills, you will be equipped to tackle everyday problems and develop efficient code. These fundamental skills are transferable to any programming language, ensuring their applicability across various contexts. Enroll in this course to deepen your understanding of data structures and algorithms, and enhance your ability to solve problems using efficient code.