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Linear Search Explained for Interviews

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.