Course overview

DSA Visual Mastery

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1. Foundations: How to Think in DSA

What DSA interviews actually test
Big-O intuition: the complexity ladder
Arrays in memory (and why strings bite)
The pattern mindset: 20 patterns > 500 problems
How to practice: the 25-minute rule & failure log

2. Arrays & Strings: The Core Patterns

Two pointers: converging & read/write
Sliding window I: fixed size
Sliding window II: grow & shrink
Prefix sums + the hashmap combo
Kadane's algorithm: your first DP
Matrix patterns: spirals, rotations, grids

3. Hashing, Stacks & Queues

Hashmap patterns: complement, grouping, membership
Frequency counting & top-K buckets
Stacks & the monotonic stack
Queues, deques & sliding-window maximum
Design an LRU cache (hashmap + linked list)

4. Linked Lists: Pointer Discipline

Fundamentals: dummy nodes & the three habits
Fast & slow pointers: cycles and middles
Reversal patterns: whole, partial, k-groups
Merging sorted lists & the K-way heap

5. Trees, Heaps & Tries

Tree fundamentals & the recursion recipe
DFS patterns: return up, pass down, global best
BFS & level-order: the level loop
BSTs: the invariant and the sorted superpower
Heaps & priority queues: top-K and two-heaps
Tries: everything with the word 'prefix'

6. Graphs

Representation & spotting hidden graphs
DFS & BFS on graphs: components and shortest steps
Topological sort: prerequisites & cycles
Union-Find: dynamic connectivity
Dijkstra & choosing the right shortest-path tool

7. Dynamic Programming

The DP mindset & the 4-step recipe
Memoization vs tabulation: convert both ways
1D DP: the four archetypes
Knapsack: the archetype and its disguises
Two-string DP: LCS and edit distance
Grid DP: paths, costs and when NOT to DP

8. Interview Execution

The master pattern cheat sheet
A full interview, minute by minute
Your 8-week study plan

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DSA Visual Mastery

Merging sorted lists & the K-way heap

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