Learning Paths
Follow structured learning paths to master data structures and algorithms based on your experience level and goals.
Foundations
Build a solid foundation in data structures and algorithms from scratch.
Key Topics:
- Arrays & Strings
- Linked Lists
- Stacks & Queues
- Basic Sorting
- Binary Search
- Hash Tables
Problem Solving
Enhance your problem-solving skills with more complex algorithms and data structures.
Key Topics:
- Trees & Graphs
- Dynamic Programming
- Greedy Algorithms
- Backtracking
- Advanced Sorting
- Heaps & Priority Queues
Interview Mastery
Prepare for technical interviews at top tech companies with advanced topics and strategies.
Key Topics:
- System Design
- Advanced Graph Algorithms
- Hard Dynamic Programming
- Concurrency & Parallelism
- Network Flow Problems
- Competitive Programming
How Our Learning Paths Work
Structured Learning
Each path is carefully designed with a progressive curriculum that builds on previous concepts.
Hands-on Practice
Apply what you learn with curated problem sets that reinforce each concept.
Skill Certification
Earn certificates as you complete modules and demonstrate your proficiency.
Progress Tracking
Monitor your growth with detailed analytics and performance metrics.
Flexible Pacing
Learn at your own speed with recommended schedules that fit your lifestyle.
Community Support
Connect with peers following the same path to share insights and collaborate.