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Data Structures & Algorithms in Practice
Curriculum
4 Sections
16 Lessons
9 Hours
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Foundations
4
1.1
Why DSA Matters for Real Engineers
37 Minutes
1.2
Big-O Analysis Without Fear
41 Minutes
1.3
Arrays and Strings Patterns
30 Minutes
1.4
Hash Maps: The Workhorse
26 Minutes
Core Structures
4
2.1
Linked Lists
33 Minutes
2.2
Stacks and Queues
29 Minutes
2.3
Trees and Binary Search Trees
27 Minutes
2.4
Heaps and Priority Queues
36 Minutes
Algorithms
4
3.1
Sorting Algorithms Compared
26 Minutes
3.2
Binary Search Patterns
37 Minutes
3.3
Recursion and Backtracking
30 Minutes
3.4
Graph Traversals: BFS and DFS
37 Minutes
Problem-Solving Mastery
4
4.1
Two Pointers and Sliding Windows
33 Minutes
4.2
Dynamic Programming Introduction
36 Minutes
4.3
Interview Strategy and Practice
34 Minutes
4.4
Course Project: Timed Problem Sets
39 Minutes
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