
Algorithms & Data Structures for Beginners
Master the fundamentals of arrays, linked lists, trees, graphs, and essential algorithms.
Start a course and pick up right where you left off.

Master the fundamentals of arrays, linked lists, trees, graphs, and essential algorithms.

Deep dive into dynamic programming, advanced graph algorithms, and complex problem-solving.

Learn scalability fundamentals, load balancing, caching, and database design basics.

Practice real interview questions: design Twitter, Uber, and other large-scale systems.

Start from zero with variables, loops, functions, and core Python concepts.

Python-specific tricks, built-in functions, and syntax patterns for interviews.

Classes, inheritance, polymorphism, and object-oriented principles in Python.

Query databases with SELECT, JOIN, aggregations, and understand relational models.

Build complete web apps with React, Node.js, databases, and deployment.

Design parking lots, chess games, and other OOD interview classics.

Factory, singleton, observer, strategy, and other essential design patterns.











Bookmark courses or lessons to find them quickly later.