Back to System Design
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Phase 4
Core Algorithms
1
Time and Space Complexity: Big O Notation Explained
Learn how to analyze algorithm efficiency using Big O notation. Understand time complexity, space complexity, and how to evaluate the performance of your code.
18 mincomplexitybig-otime complexity
2
Data Structures: Arrays, Trees, Graphs, Hash Tables, and Their Trade-offs
Master essential data structures and understand when to use each one. Learn about arrays, linked lists, trees, graphs, and hash tables with their complexity trade-offs.
22 mindata structuresarraystrees
3
Sorting and Searching Algorithms: When to Use Which
Learn essential sorting and searching algorithms, their time complexities, and when to use each one. Compare quicksort, mergesort, heapsort, binary search, and more.
20 minsortingsearchingquicksort