Algorithms - A Perquisite

Why should you learn?

Engineering graduates Sandeep and Sravan attended the campus interviews. Sravan cracked an interview at a premium company, while Sandeep has secured a job in a company. Sravan is well informed about the product he will be working on and his role, while Sandeep has no idea as the company recruited them into a reserved pool of candidates. The key difference here is that Sravan could crack the algorithms interview while Sandeep's knowledge was only up to his subjects.

Robust algorithms and data structures knowledge will bring clarity and dignity to your career.

Sravan's solid algorithmic thinking and problem-solving skills will help him make career progression faster by switching to a new company, while Sandeep waits for his manager's recognition and promotion.

What is an Algorithm? A series of steps is defined to solve a problem in its simplest form. Numerous issues in software engineering are yet to be solved today.

Learning algorithms is one of the most basic expectations and qualifications for any software engineer. Algorithmic thinking enables you to understand the customer's need and then translate the requirement into a problem space and then define an algorithm to solve it.

Sorting the data, searching for an element, and establishing the relationship between datasets is unthinkable without working with Algorithms.

The software industry deals with big data; we need the working knowledge of algorithms like never before. Algorithms help solve scaled-up problems.

Data structures are limited, like arrays, lists, stacks and queues. How you represent the algorithm using these limited data structures is an engineer's analytical and intellectual ability.

Ultimately to build a quality and extensible software that can be used for decades.