How I Learned DSA to Crack Google

Most people get stuck in "tutorial hell" when preparing for Data Structures and Algorithms—saving dozens of roadmaps, binge-watching question walkthroughs, and forgetting concepts weeks later. In this video, I break down the exact step-by-step roadmap and problem-solving framework I used to learn DSA and crack Google. We cover everything from picking your core language and mastering Big-O to the optimal topic sequence, logic-building strategies, how to properly use AI, and why contests and personal notes make all the difference. 📌 Resources & Links Mentioned My Personal DSA Revision Notes (Notion): https://flick23.notion.site/DSA-Notes... Striver’s A2Z DSA Sheet: https://takeuforward.org/strivers-a2z... NeetCode Roadmap & Practice: https://neetcode.io/ LeetCode Practice: https://leetcode.com/ CSES Problem Set: https://cses.fi/problemset/ Competitive Programming Contests: Codeforces: https://codeforces.com/ CodeChef: https://www.codechef.com/ ⏳ Timestamps 00:00 - The Problem with DSA Preparation Today 01:47 - Step 1: Pick & Master One Language First 02:44 - Step 2: Time & Space Complexity (Big-O Demystified) 03:13 - Step 3: Complete Topic Sequence & Roadmap 04:15 - Which Resources to Follow (Avoid Resource Overload) 06:24 - How to Actually Solve Problems (Stop Binge-Watching Solutions!) 10:34 - Logic Building: The Alphabet Analogy 14:25 - Role of AI in DSA (Where to Use It & When to Stop) 15:57 - How Many Questions Do You Really Need to Solve? 17:18 - Why You MUST Maintain Your Own Notes 19:01 - Why Timed Contests Are Non-Negotiable 20:58 - Stop Caring About Easy / Medium / Hard Tags 22:08 - Consistency, Patience & Final Advice 📱 Connect with me: LinkedIn:   / venkatesh-dhongadi   Twitter/X: https://x.com/flick__23 Instagram:   / flick_23   Medium blogs:   / flick_23   🤝 1:1 Chat with me: https://meetingkart.com/venkatesh https://topmate.io/flick_23 ⚠️ DISCLAIMER The views, opinions, and journeys expressed in this video are entirely my own and do not represent the official stance, strategy, or opinions of my employer (Google) or any past employers. This content is created purely for educational, motivational, and entertainment purposes based on my personal experiences. #DSA #DataStructures #Algorithms #SoftwareEngineer #GoogleSWE #CodingInterview #FAANG #LeetCode #TechCareers