DSA - Data Structures & Algorithm

The name ‘Data Structures’ itself explains the concept—it is about how data is organized. We will explore the different types of structures in great detail. An algorithm, on the other hand, is the process used to organize and manage this structured data.

Why learn Data Structures?   Well, not just to impress in interviews or land a job (though that’s a bonus). 

• Think of DSA as the crown jewels of problem-solving, showing you how tech giants build their empires—one algorithm at a time!

Basics to learn DSA? Everyone says the first priority is a programming language—and honestly, I’d say the same thing!

It can be any programming language—Java, C++, Python, or JavaScript. But here’s the twist: understanding time and space complexities is equally important. You might say, ‘Hey Prem, the name itself sounds complex—is it really necessary?’ Well, yes, it is! If you want to ace those interviews and land a great job, you’ve got to make peace with these complexities!

Complexity Analysis

Analyzing algorithms is like checking how fast they work and how much memory they use. It’s all about figuring out if your code is quick and efficient or slow and wasteful!