“LeetCode-Style Problems for Fintech and Social Media Apps” is a practical, challenge-driven course that combines interview-level coding exercises with real-world Swift scenarios pulled from fintech and social media development.
We’ve designed each module to simulate real engineering problems — like tracking user logins, identifying the most active accounts, grouping users into friend circles, and calculating the busiest times in an app. These are exactly the types of problems you’ll face in interviews, or when working on scalable iOS products.
But unlike other courses, we don’t throw CS jargon at you and expect it to make sense.
This course breaks down topics like graph traversal, union-find, trees, and sliding windows in plain English.
No theory-dumping. No academic fluff. Just clear, example-driven teaching and practical applications.
You’ll learn:
- How to use Depth-First Search (DFS) and Breadth-First Search (BFS) in social graphs without memorizing academic patterns
- When and how to apply sliding window logic to time-based app data
- What Union-Find really is, and how it’s used to group related users — without requiring a CS degree to follow along
- How to count frequency, detect duplicates, and sort custom logic efficiently with Swift’s built-in tools
- How to write clean Swift code that passes interviews and makes sense to other developers
This course includes:
- Real-world LeetCode-style challenges
- Guided coding walkthroughs
- Clear visual breakdowns of data structures like trees, graphs, and hash maps
- Optimized Swift solutions with explanations you can actually understand
