Data Structures & Algorithms

Learn to analyze algorithm efficiency using Big O notation. Understand how code performance scales with input size and make informed decisions about algorithm selection.

Master the most fundamental data structures in programming. Learn efficient techniques like Two Pointers and Sliding Window that appear constantly in coding interviews.

Understand this dynamic data structure where elements are connected by pointers. Learn to build, traverse, and manipulate chains of nodes efficiently.

Learn about LIFO and FIFO data structures. These fundamental structures control data flow in algorithms, from function calls to breadth-first search.

Master hash tables, one of the most important data structures in computer science. Learn how dictionaries work under the hood, handle collisions, and solve real-world problems efficiently.

Master tree data structures - the hierarchical foundation of file systems, databases, and countless algorithms. Learn binary trees, BSTs, and tree traversals.

Stop looking at every item. Learn to find data efficiently using Binary Search and its powerful variations that appear constantly in coding interviews.

Transform chaos into order. Learn fundamental sorting techniques from simple bubble sort to efficient merge sort, and understand when to use each algorithm.

Master recursive thinking and dynamic programming techniques to solve complex problems efficiently