Learn DSA In 100 DAYS

What You Will Get Inside

I. Introduction A. Welcome and brief overview of the eBook B. Explain the significance of learning Data Structures and Algorithms (DSA) C. Set expectations for the 100-day learning journey

II. Day 1-10: Building a Strong Foundation A. Introduction to DSA B. Basics of programming and problem-solving C. Overview of common data structures and their importance

III. Day 11-30: Dive into Data Structures A. In-depth study of fundamental data structures (arrays, linked lists, stacks, queues) B. Hands-on exercises and examples C. Practical applications of these data structures

IV. Day 31-60: Mastering Algorithms A. Introduction to algorithms and algorithm analysis B. Sorting and searching algorithms C. Recursion and dynamic programming D. Implementation and practice problems

V. Day 61-80: Advanced Data Structures A. Study of advanced data structures (trees, graphs, heaps) B. Applications and real-world scenarios C. Complex problem-solving using advanced data structures

VI. Day 81-100: Problem Solving and Practice A. Daily algorithmic challenges B. Coding interviews and competitive programming C. Tips for staying motivated and managing time

VII. Additional Resources A. List of recommended books, websites, and online courses B. Programming languages for DSA and IDE recommendations C. Communities and forums for support and discussion

VIII. Success Stories A. Share inspiring stories of individuals who have mastered DSA B. Highlight their career achievements and opportunities

IX. Tips for Continuous Learning A. Encourage lifelong learning in DSA B. Strategies for staying updated with industry trends C. Networking and collaboration opportunities

X. Conclusion A. Recap the key takeaways from the 100-day journey

B. Encourage readers to apply their DSA knowledge

C. Thank them for their commitment to learning