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Mastering DSA: Roadmap and AI Tools
Dec 30, 2024
Lecture Notes: DSA Roadmap & AI Tools
Introduction
Speaker:
Nishant Chahar, former software engineer at Microsoft, currently with Algooprep and Tayari.
Main Topic:
Importance of Data Structures and Algorithms (DSA) in college education and career.
Challenge:
Introduction to a 90-day DSA challenge with subscription rewards.
Programming Language Choice
Key Point:
Language choice (Java vs C++) is less important than problem-solving skills.
Recommendation:
Pick one language and start learning.
Resources Provided:
Java playlist covering basics to advanced, including dynamic programming.
C++ basics covering arrays, strings, pointers, etc.
90-Day DSA Learning Roadmap
Days 1-2:
Focus on space and time complexity.
Days 3-10:
Learn recursion and backtracking.
Days 11-25:
Study basic linear data structures (arrays, linked lists, stacks, queues).
Days 26-40:
Cover searching, sorting, and key algorithms (hash maps, trees, heaps, sliding windows).
Days 41-65:
Focus on graphs and dynamic programming (BFS, DFS, shortest paths, memorization, tabulation).
Days 66-75:
Object-oriented programming (OOP).
Days 76-90:
Advanced topics like number theory, bit manipulation, and more coding contests.
Importance of Coding Contests
Purpose:
Simulate real-world coding assessments.
Benefit:
Helps in working under pressure.
After DSA: Projects and Resume Building
Project Ideas:
Includes streaming service, chat application using WhatsApp/Firebase.
Resume Tips:
Insights from recruiters of top companies; optimize LinkedIn profile.
90-Day DSA Challenge
Participation Requirements:
Sign up for a free trial, code daily, and document progress on social media.
Prizes:
Three winners receive a two-year subscription to AlgoPrep X.
Utilizing AI for DSA
Visualization Tools:
Online visualizers for sorting and path-finding algorithms.
Customized Study Plans:
Use AI to create personalized study schedules.
Mock Interviews:
Websites like "offered by AI" and "final round AI" for interview practice.
AI-assisted Code Review:
Ask AI models like GPT for feedback on code improvements.
Conclusion
Call to Action:
Implement these steps to build a solid DSA foundation.
Subscription Encouragement:
Like and subscribe for more content.
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Full transcript