DSA - Getting Started + Concept Clarity

Are you new to Data Structures & Algorithms (DSA) and don’t know where to begin? Confused between arrays, linked lists, recursion, or what Big-O notation even means? This session is designed to demystify DSA for you — whether you're preparing for coding interviews, starting competitive programming, or just building a strong foundation.

🔍 What We'll Cover in This Session:

• ✅ What DSA really is, why it’s important (especially for coding interviews), and where it’s used in real-world software.
• ✅ Breakdown of core beginner-friendly topics:
• Arrays & Strings
• Time and Space Complexity (Big-O)
• Recursion (and how not to fear it)
• HashMaps, Stacks, Queues, Trees (intro level)
• ✅ How to learn DSA efficiently:
• Which topics to learn first and why
• How to build intuition for solving problems
• How to avoid “tutorial hell” and start thinking in code
• ✅ Choosing the right platform for practice (LeetCode, GFG, Codeforces, etc.)
• ✅ How to start writing clean, structured solutions — not just copying from others.

🎯 You’ll Leave This Session With:

• A clear and realistic learning roadmap for mastering DSA step-by-step.
• Clarity on the difference between solving and understanding a problem.
• Suggested DSA books, YouTube channels, and problem sets for your level.
• Confidence in how to break down a problem and analyze your approach.
• Advice on when to start mock interviews or timed contests.

👤 Ideal For:

• First- or second-year college students starting DSA for placements.
• Self-taught devs or bootcamp grads who never did formal algorithms training.
• Android/web/backend developers shifting focus to interviews & tech jobs.
• Anyone stuck on where to start or how to “think in DSA.”

Want a follow-up session for mock DSA interviews or reviewing your code on LeetCode problems? I offer that too — just let me know!