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DSA Learning Path and AI Tools

Apr 10, 2025

DSA Roadmap and AI Integration for College Students

Introduction

  • Presenter: Nishant Chahar, former Microsoft software engineer.
  • Current projects: Algooprep and Tayari.
  • Importance of understanding Data Structures and Algorithms (DSA) in college for a successful career.
  • A 90-day DSA challenge with prizes.

Importance of a Programming Language

  • Essential to choose a programming language.
  • Language choice (Java or C++) isn't crucial for high-paying jobs.
  • Focus on problem-solving skills.

Resources

  • Java Resources: Comprehensive playlist available, covering basics to advanced topics.
  • C++ Resources: Covers core concepts such as arrays, strings, pointers, variables, loops, and conditionals.

90-Day DSA Roadmap

  • Days 1-2: Focus on space and time complexity.
  • Days 3-10: Cover recursion and backtracking.
  • Days 11-25: Study basic linear data structures: arrays, linked lists, stacks, queues.
  • Days 26-40: Learn searching, sorting, hash maps, trees, heaps, and sliding window technique.
  • Days 41-65: Focus on graphs and dynamic programming.
  • Days 66-75: Cover object-oriented programming (OOP).
  • Days 76-90: Study advanced topics: number theory, bit manipulation.

Practicing Problem Solving

  • Participate in coding contests for practice.
  • Practice top 150 questions (list provided in video description).

Project Ideas

  • Build projects for a résumé: streaming service, chat application with WhatsApp and Firebase.
  • AlgoPrepX offers project templates.

Resume and Job Application Tips

  • Tips for building a strong resume and optimizing LinkedIn.
  • Based on insights from podcasts with recruiters from top companies.

90-Day DSA Challenge

  • Three winners receive a free two-year AlgoPrep X subscription.
  • Daily coding and social media updates required.
  • Free trial and additional discount available.

Leveraging AI in DSA Learning

  • Use AI for visualizing algorithms and creating customized study plans.
  • Online visualizers and project ideas for algorithm visualization.
  • AI-based mock interviews available on certain platforms.
  • AI feedback on coding practices.

Conclusion

  • Implementing these steps will provide a solid foundation in DSA.
  • Encouragement to like and subscribe for more content.

  • Note: For more details and specifics, refer to the provided links and descriptions in the original content.