Coding Interview Study Schedule: 1, 2, and 3 Month Plans

The single most important decision you will make before starting interview prep is choosing the right timeline. A plan that is too aggressive leads to burnout and shallow understanding. A plan that is too relaxed lets urgency fade and creates gaps in retention.

Your ideal timeline depends on three factors: your current skill level, how many hours per week you can realistically dedicate, and how soon your interviews are scheduled. If you are already comfortable solving medium-difficulty problems on YeetCode, a 1-month sprint may be sufficient. If you are starting from scratch or returning after a long break, 3 months gives you room to build fundamentals properly.

Be honest with yourself about available time. A 2-month plan assumes 10-15 hours per week of focused study. If you can only manage 5-7 hours because of work or school, extend to 3 months rather than trying to cram the same volume into fewer sessions. Consistency beats intensity in coding interview preparation.

The 1-month plan is designed for experienced engineers who already have a foundation in data structures and algorithms. You should be able to solve easy LeetCode problems without hints before starting this track. Expect to dedicate 15-20 hours per week.

Week 1 focuses on core patterns: sliding window, two pointers, binary search, and hash maps. Solve 3-4 problems per day across these categories using YeetCode's 13 problem categories as your guide. Prioritize understanding the pattern over memorizing solutions.

Week 2 shifts to trees, graphs, and dynamic programming. These three topics account for roughly 40% of all coding interview questions at top companies. Spend at least two full sessions on BFS/DFS traversals and another two on common DP patterns like knapsack, longest subsequence, and grid pathfinding.

Week 3 covers system design fundamentals and behavioral preparation. Dedicate 60% of your time to coding review and 40% to system design and behavioral stories. Practice explaining your solutions out loud — interviewers evaluate communication as much as correctness.

The 2-month plan is the most popular choice among candidates preparing for FAANG and top-tier interviews. It provides enough time to build real depth without dragging out the process. Plan for 10-15 hours per week of focused study.

Weeks 1-2 establish your foundation. Review core data structures — arrays, linked lists, stacks, queues, hash maps, and heaps — by solving 2-3 easy problems per day. Use this phase to identify which of YeetCode's 13 categories feel weakest so you can allocate extra time later.

Weeks 3-5 are the core problem-solving phase. Work through medium-difficulty problems across all major patterns: sliding window, two pointers, binary search, BFS/DFS, backtracking, and dynamic programming. Aim for 2 problems per day with thorough review of each solution.

Weeks 6-7 introduce system design and behavioral preparation alongside continued coding practice. Split your time 50/30/20 between coding, system design, and behavioral stories. This is also when you should start doing mock interviews — aim for at least one per week.

The 3-month plan is ideal for career changers, bootcamp graduates, or anyone who wants to build a deep and durable understanding of algorithms and data structures. It assumes 8-12 hours per week and leaves room for life to happen without derailing your progress.

Month 1 is dedicated entirely to fundamentals. Spend the first two weeks reviewing data structures with implementation exercises — actually code a linked list, a hash map, and a binary search tree from scratch. Weeks 3-4 introduce basic problem-solving patterns with easy-to-medium problems.

Month 2 is the intensive problem-solving phase. Work through YeetCode's 13 categories systematically, spending 2-3 days on each category. By the end of this month, you should be comfortable recognizing which pattern a problem requires within the first few minutes of reading it.

Month 3 splits between advanced topics, system design, and interview simulation. Weeks 9-10 cover dynamic programming and graph algorithms in depth. Weeks 11-12 add system design and behavioral preparation. The final week is reserved for mock interviews and targeted review.

Regardless of which timeline you choose, your weekly structure should follow a consistent pattern. Predictability reduces decision fatigue and makes it easier to maintain momentum across weeks of preparation.

For a 12-hour week, allocate 7-8 hours to coding practice, 2-3 hours to system design, and 1-2 hours to behavioral preparation. On coding days, warm up with one easy problem before tackling a medium or hard. System design sessions should alternate between learning concepts and practicing full 45-minute design exercises.

Your daily coding session should follow a structured format: 5 minutes reading the problem, 15 minutes attempting a solution, 10 minutes reviewing the optimal approach, and 5 minutes writing notes on the pattern. If you cannot solve a problem in 20 minutes, read the solution — there is no shame in learning from answers, and it is more efficient than staring at a blank screen.

A study plan without tracking is just a wish list. You need a concrete system for measuring progress and identifying when to adjust your approach. The simplest effective method is a spreadsheet or tracker that records every problem you attempt, your solve time, whether you needed hints, and which pattern it tested.

Review your tracker weekly and look for two signals. First, which categories have the lowest success rate? If you are solving trees at 80% but dynamic programming at 30%, DP needs more time next week. Second, are your solve times improving? A healthy trajectory shows medium problems dropping from 40+ minutes to 20-25 minutes over 4-6 weeks.

Do not be afraid to deviate from the plan. If you discover that graph problems are appearing frequently in your target company's interviews, shift 20-30% of your coding time toward graphs even if your plan says to focus on something else. The plan serves you — you do not serve the plan.

The final week is not the time to learn new topics. It is the time to consolidate what you already know and enter your interview with confidence and calm. Shift your focus entirely from learning to reviewing and simulating.

Monday through Wednesday, do light review sessions: re-solve 2-3 problems per day from categories you have already mastered. The goal is to keep patterns fresh without exhausting yourself. Review your notes on common mistakes and edge cases you have encountered during preparation.

Thursday and Friday, do one full mock interview each day — one coding and one system design. Simulate real conditions: use a timer, do not look anything up, and explain your thinking out loud. After each mock, write down what went well and one thing to improve.

Saturday before the interview, stop studying entirely. Go for a walk, exercise, eat well, and get a full night of sleep. The marginal value of one more problem solved is far less than the value of arriving rested, sharp, and confident. Trust your preparation.