- Focus: Understand time complexity (Big O), memory usage, and when to use each structure.
- Practice: Solve easy to medium-level problems on arrays and linked lists.
- Resource: "Cracking the Coding Interview" by Gayle Laakmann McDowell, LeetCode, HackerRank.
- Focus: Implement and understand common algorithms like merge sort, quicksort, binary search.
- Practice: Solve problems involving sorting and searching on LeetCode.
- Focus: Understand tree traversals, balancing trees, and common tree-based problems.
- Practice: Solve medium to hard-level tree problems.
- Focus: Understand graph representations, traversals, and common graph algorithms.
- Practice: Work on problems involving graphs and dynamic programming.
- Focus: Practice problems that require these techniques, understand memoization.
- Practice: Work on medium to hard-level DP problems on LeetCode.
- Focus: Learn about system components, design patterns, and best practices.
- Practice: Design systems like URL shortener, chat applications, or online storage.
- Focus: Simulate interview conditions with timed practice sessions.
- Practice: Use platforms like Pramp or Interviewing.io for mock interviews.
- Focus: Review previously solved problems, revisit system design concepts.
- Practice: Take a full day to simulate an actual interview with coding and system design questions.
- Daily Routine: Spend 2 hours on coding problems, 1 hour on system design, and 1 hour revising or learning new concepts.
- Weekend Focus: Use weekends for longer study sessions, mock interviews, and deeper dives into difficult topics.
- Resources: LeetCode, "Designing Data-Intensive Applications" by Martin Kleppmann, "Elements of Programming Interviews" by Adnan Aziz.
This plan ensures a balanced approach, focusing on problem-solving skills and system design, essential for FAANG interviews.