Ace technical coding interviews with 200 questions on Big O, Graphs, Hash Maps, and Dynamic Programming.
Sub Category
- Software Engineering
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Objectives
- Evaluate algorithmic efficiency by calculating Big O Time and Space Complexity for worst-case, average-case, and best-case scenarios.
- Select the optimal underlying data structures—including Hash Maps, Linked Lists, Stacks, and Queues—to solve complex engineering bottlenecks.
- Traverse hierarchical and relational data efficiently using Trees (BST, AVL) and Graph traversal algorithms (BFS, DFS).
- Optimize brute-force recursion by implementing Dynamic Programming techniques (Memoization and Tabulation) and efficient Sorting Algorithms.
Pre Requisites
- A firm grasp of Python basics (loops, functions, and variables). No prior algorithm knowledge is explicitly required, but an analytical mindset and a willingness to understand the "why" behind the code are essential.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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