Lec: 01 Introduction to Data structures | Data Structures & Algorithm | @DevSagarKumarJha

🚀 Start your Data Structures & Algorithms (DSA) journey from zero! In this video, we break down **why top companies like Google, Amazon, and Microsoft focus on DSA** instead of just programming languages. If you're a beginner or someone preparing for interviews, this video will give you the right foundation and mindset. 💡 You’ll learn: * Why DSA is important in real-world applications ? * What companies actually test in interviews? * Common data structures you already use unknowingly? * Introduction to Time Complexity & Space Complexity? * Real-world trade-offs between speed and memory? * Constraints 🎯 This series focuses on **logic, not any specific programming language**, so whether you use C++, Java, Python, or JavaScript — you can follow along easily. 🌐 Connect with me: Linkedin : https://www.linkedin.com/in/devsagarkumarjha Instagram: https://www.instagram.com/sagarkumarjha.dev/ Discord: https://discord.gg/evgXTqfpdv 🧠 Who is this for? * Beginners starting DSA * Students preparing for placements * Developers improving problem-solving skills * Where are you watching from? * Student or working professional? * Which programming language are you learning? Time stamps 00:00 - Introduction and Sagar's background 00:43 - Why learn Data Structures and Algorithms (DSA)? 02:05 - DSA in real-world software engineering 04:32 - Linear Data Structures (Array, Linked List, Stack, Queue) 05:34 - Non-Linear Data Structures (Trees and Graphs) 06:20 - Algorithm approaches and patterns 07:53 - Defining Data Structures: The storage system 09:18 - Defining Algorithms: Steps to achieve a task 12:35 - Course Prerequisites: Programming language and Pseudo-code 13:25 - Runtime, Time Complexity, and Space Complexity 15:52 - Why Run Time is machine-dependent 21:04 - Understanding Time Complexity (Number of steps) 22:16 - Understanding Space Complexity (Memory consumption) 27:07 - What are Constraints in DSA? 28:50 - Sneak peek into the next lesson: Abstract Data Types and Arrays #DSA #DataStructures #Algorithms #CodingInterview #Programming #SoftwareEngineering