Data Structure

Many a times Computer Science graduates devalue the importance of learning data structures and algorithms considering it as complicated, irrelevant or a waste of time.

However, they soon get a reality check when they enter the real-word for job hunting. Big companies like Amazon, Google or Microsoft often ask questions related to algorithms and data structures to check the problem-solving abilities of the candidates.

The data structure is a key component of Computer Science and is largely used in the areas of Artificial Intelligence, machine  learning, operating systems, graphics, etc.  Algorithm refers to a set of steps used in completing a certain task or to get a desired output.

It is like building blocks for programming that allows smartphones, computers or websites to function smoothly and make decisions. Each code written by a programmer is a collective formation of algorithms navigating what to do. Algorithms are well-defined procedures that help computers to solve problems.

What you will learn in this course?

• Learn Data Structures, Abstract Data Types and their implementation in Python
• Implementation of Searching Algorithms in Python
• Implementation of Stacks, Queues, Linked List, Binary Trees, Heaps and Graphs in Python
• Implementation of Binary Tree Traversal Techniques in Python
• Graph traversals techniques  Depth First Search and Breadth-First Search in Python
• Implementation of Sorting Algorithms in Python
• Enhance Analytical Skill and efficiently use searching and sorting algorithms in real applications