Introduction
Preparing for a technical interview can be quite challenging. It would be best if you had a firm grasp on the basic concepts of Computer Science and related subjects while preparing for a technical interview.

One of the most popular topics in technical interviews is data structures and algorithms. Many students and professionals struggle with understanding this concept. That’s why we have launched this free course. It will help you in studying data structure and algorithm free and easy.

What are Data Structures?
Data structures are methods of gathering and organizing data. Using data structures helps you in applying certain operations on your data effectively. We all know how beneficial it is to keep things organized. Having a designated location for everything helps you find that thing later, enabling you to save time and energy.

A data structure helps your program similarly. It allows you to store and arrange data properly so you can use it through different operations. There are different types of data structures, and they all have certain advantages (and disadvantages). You should choose a data structure according to the requirements of your problem. The data structure should make your solution more efficient and less complicated when you implement it.

What is an Algorithm?
In layman terms, algorithms are a collection of steps you can use to solve a problem. You can say every algorithm is a solution. Another great simile for algorithms would be recipes.

Like a specific recipe helps you cook a particular dish with certain ingredients, an algorithm helps your machine solve a particular problem with a particular input.

As algorithms are lists of steps, you can see why they are quite popular. When a chef creates a particular recipe for a dish, they can share it with others, and they would be able to cook the same dish by following that recipe. Similarly, you can use an algorithm to solve specific problems and share it with others who might want to fix that same issue.

An algorithm is not a complete program or code. You can express an algorithm through a flowchart or pseudocode.

To become an expert in Machine Learning Alogrithims check out IIT Delhi’s Machine Learning Program in association with upGrad. IIT Delhi is one of the most prestigious institutions in India. With more the 500+ In-house faculty members which are the best in the subject matters.

Why Learn Data Structures and Algorithms (DSA)?
There are many benefits to learning DSA. Here are some of the most prominent reasons why you should consider learning data structure and algorithms:

Interviews
Do you ever wonder why the packages from tech giants such as Google, Facebook, or Microsoft are so big? Why do they pay their engineers this high? That’s because they want candidates who can think out of the box and develop creative solutions for their enterprise. These engineers have to create unique algorithms to solve the highly complex these companies face. All of these companies have millions and billions of users.

That’s why a solution that benefits them by even 0.01% would make a huge difference. Learning and using algorithms will help you explore their applications as well. You can prepare yourself for these companies’ interviews by solving various problems using algorithms and data structures. You should know how to use different algorithms to fix various types of issues.

Efficiency
What’s more comfortable, finding a book in a library or a pile of books with the same quantity as the library?

It’s easier to find a book in a library because they are well-organized and arranged. You’ll have to spend a lot more time and energy to find the same book in a huge pile. Data structures benefit you the same way. They reduce the time and memory your program needs to complete a task. Algorithms help you similarly. Instead of writing multiple lines of code, you can implement an algorithm and get a result much quicker.

Scalability
Another significant advantage of data structures and algorithms offer they are scalable. This means if you expand the size of a problem, the solution would still remain the same, only the quantity of input and output would change. We can compare algorithms with recipes to explain this feature.

Whether you have to prepare a cake for two guests or 200, the fundamental steps and proportions of ingredients would remain the same, only the quantity of ingredients would change. DSA works similarly. That’s why companies use them extensively. It’s another reason why tech giants rely heavily on DSA. They deal with vast quantities of users and servers, so scalability is a must-have for their solutions.

How to Learn Data Structures and Algorithm Free
If you want to nail a technical interview, you must be an expert in data structures and algorithms. However, it is quite a complicated topic to understand. To help you become a software professional, upGrad has released a free data structures and algorithm course. It will help you learn the basic concepts of this complicated section of Computer Science.

It is an 8-week course divided into the following six sections:

Arrays & Linked Lists
Algorithm Analysis
Searching & Sorting Algorithms
Stacks & Queues
Assignment – Searching & Sorting Algorithms
Assignment – Stacks and Queues
This free course will allow you to learn the basics of DSA from leading industry experts through exclusive video lectures. Its cutting edge content and live classes will enable you to get rid of any doubts you have regarding data structures and algorithms. You’d only have to invest 30 minutes every day for a few weeks to master this complicated topic. You can register for this data structures and algorithm free course here.

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