Linear Search Algorithm - Theory + Code + Questions

Описание: Linear Search Algorithm Explained | Data Structures & Algorithms (DSA) for Coding & Interview Preparation

Master the Linear Search Algorithm in Data Structures and Algorithms (DSA) with clear theory, coding examples, and interview-focused problem solving — designed to help you crack coding interviews and strengthen your programming fundamentals.

Linear Search is one of the most fundamental searching algorithms in computer science. Whether you're preparing for technical interviews, learning DSA from scratch, or strengthening your problem-solving skills, understanding this algorithm deeply is essential.

In this video, we break down the Linear Search Algorithm step by step — from concept to implementation — so you not only understand how it works, but why it matters in real-world programming and interviews.

🔍 What This Video Covers

What is Linear Search in Data Structures and Algorithms

How Linear Search works (step-by-step explanation)

Time Complexity analysis (Best, Average, Worst case)

Space Complexity discussion

When to use Linear Search

Comparison with other searching techniques

Common interview questions on Linear Search

Coding implementation logic (language-independent concept)

💡 Why Linear Search Matters in DSA & Interviews

Even though Linear Search is simple, it builds the foundation for:

Understanding algorithmic thinking

Learning complexity analysis (Big-O notation)

Solving array-based coding problems

Preparing for technical interview questions

Strengthening core problem-solving skills

Many coding interviews start with basic searching logic to evaluate your clarity of thought and fundamentals. Mastering this ensures you can confidently approach more advanced algorithms later.

🎯 Who This Video Is For

Beginners starting Data Structures and Algorithms

Students preparing for coding interviews

Developers revising DSA fundamentals

Anyone learning programming and problem solving

Computer science learners building strong algorithmic foundations

🚀 Watch Till the End

Make sure to watch till the end to understand how Linear Search impacts time complexity analysis and interview problem-solving patterns — this clarity will help you solve coding questions faster and more confidently.

If you find this helpful:

👍 Like the video

💬 Comment your doubts or interview questions

🔁 Share with friends preparing for DSA

🔔 Subscribe for structured DSA, coding, and programming concepts

This video is part of a structured journey covering Data Structures and Algorithms (DSA), coding concepts, theory, and interview preparation strategies — designed especially for learners building strong programming fundamentals from scratch.

Stay consistent. Master the basics. Crack the interview.

This video is inspired by some of the best educators on YouTube, including freeCodeCamp.org, Apna College, CodeWithHarry, GeeksforGeeks, Programming with Mosh, Traversy Media, Bro Code, The Net Ninja, Chai aur Code, Learn Code With Durgesh, Kunal Kushwaha, Gate Smashers, Jenny’s Lectures CS IT, Love Babbar, Krish Naik, Neso Academy, TechWorld with Nana, Corey Schafer, Telusko, NeetCode, take U forward, CodeHelp – by Babbar, Akshay Saini, Tech With Tim, Abdul Bari, Fireship, Piyush Garg, Web Dev Simplified, Gaurav Sen, William Fiset, Hussein Nasser, Aditya Verma, Errichto, Pepcoding, and Sentdex.