A pattern-based approach to mastering the DSA questions that form the core of technical interviews.
Prerequisites: A foundational understanding of programming concepts, basic data structures (e.g., arrays, linked lists, trees, graphs), and algorithm analysis (time and space complexity) is recommended.
Using extra space to save time.
Iterating through 1D data.
Breaking down problems into smaller pieces.
LIFO structure for managing nested data.
Finding the largest or smallest elements efficiently.
Managing and merging ranges of data.
Exploring hierarchical and networked data.
Navigating and searching in 2D data structures.
Breaking down complex problems into simpler subproblems to find optimal solutions
This course focuses on the most frequently encountered DSA patterns in technical interviews. Topics like advanced graph algorithms (e.g., network flow, minimum spanning trees), advanced string algorithms (KMP, Rabin Karp), and bit manipulation are not covered here, but are excellent areas to explore for further mastery.