Step 1 — Choose your timeline based on your starting point
Before picking a problem list, be honest about your baseline. Take a LeetCode Easy problem (Two Sum, Valid Parentheses, Reverse String) without looking at solutions. If you solve it in under 15 minutes with clean code, you have a solid foundation — plan for 8–10 weeks. If it takes 30+ minutes or you need a hint, plan for 12–16 weeks. If you cannot solve it at all, start with a CS fundamentals review (data structures, recursion, Big-O notation) before jumping into interview prep. Trying to shortcut this assessment costs more time than it saves.
Step 2 — Pick one problem list and finish it
The most common prep mistake is list-hopping: starting Blind 75, switching to NeetCode 150, adding random LeetCode problems, and ending up 6 weeks later with 150 half-solved problems and no deep pattern understanding. Pick one list and finish it. For most engineers, the recommendation is: Blind 75 if you have 6–8 weeks, NeetCode 150 if you have 10–12 weeks, and the full NeetCode 300 if you have 4+ months and are targeting Google or Meta where Hard problems appear. The Essential 75 on this site is calibrated for 4-week sprints with no padding.
Step 3 — Learn patterns, not solutions
The engineers who fail FAANG interviews despite solving 300+ LeetCode problems are optimizing the wrong metric. They can solve problems they have seen. They cannot solve problems they have not seen. Pattern-based preparation solves this. Instead of memorizing that "Two Sum uses a hash map", learn that "any problem requiring O(1) lookups for complements or counts should trigger hash map thinking". Instead of memorizing sliding window solutions, learn the template: initialize window, expand right, contract left when violated, track result. That template handles 15+ distinct problem types.
Step 4 — Build your system design baseline (even as a new grad)
Even if your target role does not include system design rounds, understanding scalability fundamentals improves your DSA problem-solving. Why? Because many hard LeetCode problems (LRU Cache, Design Twitter, Insert Delete GetRandom O(1)) are miniature system design questions. The core concepts to internalize: horizontal vs vertical scaling, SQL vs NoSQL tradeoffs, caching (when to use Redis, cache invalidation strategies), load balancing, and the CAP theorem. These 6 concepts appear in 80% of system design interview questions. Resources on this site: the System Design hub covers all case studies with the exact depth interviewers expect.
Step 5 — Add behavioral prep in week 4, not week 11
Behavioral interviews are evaluated in parallel with technical interviews, not after. Most candidates spend 95% of their prep on DSA and 5% on behavioral — then lose offers on the behavioral round. At Amazon, behavioral is explicitly 50% of the hiring decision (Leadership Principles evaluation). At Google, Googliness is a separate scored dimension. The minimum viable behavioral prep: build 5–7 core stories from your experience (projects, conflicts, failures, leadership moments), practice the STAR-L format (Situation, Task, Action, Result, Learning), and map each story to 3–5 common behavioral questions. Start this in week 4 of prep, not the week before your interview.
Week-by-week timeline: 8 weeks to FAANG-ready
Weeks 1–2: Core patterns — Two Pointers, Sliding Window, Binary Search, Hash Map, Stack. Solve 3–5 problems per pattern. Weeks 3–4: Trees and graphs — DFS, BFS, tree traversals, graph connectivity. Add behavioral prep (STAR story bank). Weeks 5–6: Dynamic programming (1D, 2D, state machine) and heaps. These are the hardest topics — give them full attention. Weeks 7–8: System design fundamentals (1 case study per day) + company-specific prep (filter problems by your target company, review top 30 asked questions). Spend the last 3 days on mock interviews, not new problems.
Common mistakes that add weeks to your prep
1. Solving problems in Easy→Medium→Hard order instead of Pattern→Pattern→Pattern order. 2. Looking at the solution after 5 minutes of struggle instead of 30–45 minutes. 3. Not writing actual code — thinking through a problem mentally does not build the muscle memory you need in a timed interview. 4. Ignoring edge cases (empty array, single element, negative numbers, overflow). 5. Not practicing under time pressure — your first timed mock interview will feel completely different from unlimited-time practice. Do at least 5 timed mocks before your real interviews.