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In this video, we will clearly understand Algorithm, Algorithm Analysis, Time Complexity, Space Complexity and Asymptotic Notations in a simple Hinglish + exam-ready format. Ye video specially un students ke liye hai jo: DSA concepts strong karna chahte hain University / BCA / BTech / MCA exams ke liye prepare kar rahe hain Time complexity ko ratta nahi, logic ke saath samajhna chahte hain 📌 Topics Covered in This Video: What is Algorithm (Definition + Examples) Characteristics of a Good Algorithm What is Algorithm Analysis Time Complexity: Best Case Average Case Worst Case Space Complexity (with examples) Asymptotic Notations: Big O Notation (O) Omega Notation (Ω) Theta Notation (Θ) Exam-oriented explanations & short tricks 📄 Exam-Ready Notes PDF: ✔️ Short definitions ✔️ Diagrams & tables ✔️ University-oriented answers 👉 PDF link is given in the pinned comment 📚 DSA Full Playlist (Step-by-Step): Part 1: Introduction to Data Structures Part 2: Classification of Data Structures Part 3: Basic Operations on Data Structures Part 4: Algorithm, Time & Space Complexity (This Video) 👉 Watch the complete playlist to become exam-ready in DSA. Like | share | Subscribe algorithm in data structure algorithm analysis time complexity space complexity asymptotic notation big o notation omega notation theta notation dsa for beginners data structures and algorithms dsa exam preparation bca data structure