DSA & Interview Prep

1. The Method — Big-O and the pattern mindset (~6h) — You can name the time and space complexity of any code you read, and you have a practice system that beats mindless grinding.
2. Arrays, Strings & Hashing (~12h) — Hash maps are your first instinct — you trade memory for time on sight, and the classic array problems are warm-ups.
3. Two Pointers, Sliding Window, Stacks & Queues (~12h) — 'Contiguous subarray' and 'sorted array' read as pattern signals — you pick the O(n) approach before writing a line.
4. Linked Lists, Trees & Graphs — BFS/DFS (~15h) — You can write BFS and DFS from a blank editor in under five minutes each — and you know which one a problem is quietly asking for.
5. Heaps, Greedy & Backtracking (~12h) — Top-k, scheduling, and generate-everything problems each trigger the right tool on sight — heap, exchange argument, or recursion tree.
6. Dynamic Programming Patterns (~15h) — DP stops being a wall: you take any problem from brute recursion to memoized to bottom-up table, and you can name which of the five classic patterns it is.
7. Mock Interviews & Behavioral (~8h) — You can perform a solve under observation — clarify, narrate, code, test, state complexity — and answer behavioral questions with prepared, true stories.

Capstone assignments: The 75-problem ledger with a spaced re-solve engine · The three-mock loop, recorded and scored · Teach-back: five pattern explainers, published

After this course: Problem Solving (Basic) skill certification · JavaScript Algorithms and Data Structures certification · LinkedIn Jobs · Wellfound (AngelList Talent) · Work at a Startup · Internshala

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