Keerti-dsa
Learn DSA by keertipurswani with comprehensive video tutorials and hands-on projects.
Meet Your Instructor: Keerti-Purswani
Keerti Purswani is a dynamic computer science educator and founder of Educosys, specializing in data structures, algorithms, system design, and generative AI education. With a passion for making complex technical concepts accessible, Keerti has helped thousands of students excel in competitive programming, technical interviews, and real-world software engineering challenges. Her comprehensive approach combines hands-on practice with deep conceptual understanding, preparing students for careers at top tech companies.
Experience: 10+ years
Students Helped: 50,000+
Specialization: DSA, System Design & AI Education
Course Overview
This comprehensive course is designed to take you from foundational concepts to advanced implementation in dsa, system design & ai education. You'll learn through hands-on project-based learning with live coding sessions, real-world case studies, and comprehensive doubt-clearing support, building real-world projects that demonstrate your skills and enhance your portfolio.
Whether you're looking to start a new career in technology or advance your current skills, this course provides the structured learning path and practical experience you need to succeed in today's competitive tech industry.
Course Curriculum
Course Content
Day 1 - Recursion Basics
Day 2 - Recursion
Day 3 - Recursion
Day 4 - Recursion
Day 5 - Introduction to DP
Day 6 - DP on Strings
Day 7 - DP - Edit Distance, Subset Sum
Day 8 - Wildcard Matching
Day 9 - Intro to Gap Method
Day 10 - Gap Method
Day 11 - DP Practise
Day 12 - DP
Day 13 - Trees
Day 14 - Trees
Day 15 - BST
Day 16 - Trees
Day 17 - Basics of Graphs
Day 18 - Graphs
Day 19 - Graphs
Day 20 - Graphs
Day 21 - Graph Algos
Day 22 - Graph Algos
Day 23 - Graph Algos
Day 24 - Finale
Day 1 - Recursion Basics
Day 2 - Recursion
Day 3 - Recursion
Day 4 - Recursion
Day 5 - Introduction to DP
Day 6 - DP on Strings
Day 7 - DP - Edit Distance, Subset Sum
Day 8 - Wildcard Matching
Day 9 - Intro to Gap Method
Day 10 - Gap Method
Day 11 - DP Practise
Day 12 - DP
Day 13 - Trees
Day 14 - Trees
Day 15 - BST
Day 16 - Trees
Day 17 - Basics of Graphs
Day 18 - Graphs
Day 19 - Graphs
Day 20 - Graphs
Day 21 - Graph Algos
Day 22 - Graph Algos*
Day 23 - Graph Algos
Day 24 - Finale
MeetUp (14th March)
Chevvanthi and Aishwarya
Umang and Mithun
Renuka and Uma Mahesh
Shubham Amandeep
Kalindi and Uma Mahesh
Requirements
- Basic programming knowledge in any language (C/C++/Java/Python)
- Understanding of basic programming concepts (variables, loops, functions)
- Internet connection for video streaming
- Code editor (VS Code recommended) for practice
- Dedication to solve coding problems daily
Course Features
Course Details
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