Overview
Solve real-world algorithmic problems commonly encountered in fintech and social app development., Implement advanced data structures like hash maps, sets, and queues in Swift., Apply depth-first and breadth-first search techniques to practical graph-based challenges., Understand and implement the sliding window technique for efficient data analysis., Build and traverse adjacency lists to solve user relationship and clustering problems., Use Union-Find to identify connected components in a network graph., Apply sweep-line algorithms to determine maximum concurrency from login session data., Write optimized Swift code that meets performance constraints for large input sizes., Analyze algorithm complexity (time and space) to justify design decisions., Develop and debug Swift code in a testable format similar to LeetCode environments.
Aspiring iOS developers who want to strengthen their Swift coding skills through real-world coding challenges., Computer science students looking to practice algorithmic problem-solving in Swift using fintech and social media contexts., iOS engineers preparing for technical interviews at companies like Meta, Google, or startups., Self-taught developers who want structured problem-solving practice to fill in CS knowledge gaps., Developers switching to mobile development who want to understand Swift syntax through practical exercises., Bootcamp graduates ready to transition from tutorials to applying coding concepts in real-world-style problems., Junior developers aiming to improve their grasp of data structures and algorithms using Swift., Professionals in fintech or social apps who want to understand the logic behind core features like user sessions, transactions, and messaging., Udemy learners focused on algorithm mastery in preparation for coding interviews with a focus on Swift., Developers interested in building scalable features commonly seen in finance and social networking apps.
Basic Swift programming knowledge – understanding of variables, constants, functions, and control flow., Familiarity with Swift collections – arrays, dictionaries, sets, and how to iterate over them., Introductory knowledge of Xcode – ability to run and test Swift code in Xcode., Experience writing simple Swift functions – particularly working with parameters and return values., Basic understanding of time and space complexity – at least the concept of O(n) and O(1)., Comfort with reading and tracing through code – ability to understand existing Swift code., Interest in iOS app development concepts – such as user sessions, transactions, and messaging., Understanding of simple data structures – like stacks, queues, hash maps, and sets., Ability to follow algorithmic logic – such as loops, conditionals, and recursive calls., Willingness to learn through coding challenges – with patience and persistence to debug and test.
Are you an iOS developer trying to sharpen your Swift skills and break into top tech companies like Meta, PayPal, or Stripe? Or maybe you're self-taught and frustrated by algorithm tutorials that feel like they're written for computer science majors? This course is built for you.
“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
Whether you’re prepping for a coding interview, trying to become a more confident Swift developer, or applying your skills to real product logic, this course will help you think like a problem-solver — not just a coder.
No computer science background required. Just bring your curiosity, your laptop, and a desire to actually understand the logic behind professional Swift development.
Norbert Grover
Norbert Grover
iOS Developer
Welcome to my Udemy profile! I'm Norbert Grover, an experienced iOS Mobile Developer specializing in GraphQL implementation, with over a decade of expertise in crafting high-quality software solutions.
About Me
With a strong foundation in Swift, SwiftUI, UIKit, and Combine, I've led the integration of GraphQL into major iOS projects, achieving significant reductions in API response times and enhancing overall application performance. My commitment to Agile methodologies has consistently resulted in increased project efficiency and faster delivery times.
Professional Achievements
Achieved increase in user engagement through innovative app features and enhancements.
Enhanced app stability and user satisfaction by resolving critical bugs and improving performance.
Professional Experience
Randstad Technologies, Fidelity Investments: Designed intuitive UIs, employed Agile methodologies, and ensured scalable, testable code using MVVM and Combine.
Pragmatic Programming Content Creator: Mentored developers, established comprehensive course content, and enhanced coding proficiency in Swift and related technologies.
Klover: Maintained and implemented app features, optimized application performance, and led successful web services integration.
Akraya: Improved user experience and application performance through code optimization and REST API integration.
OPU Labs: Refactored non-maintainable codebases, integrated new features, and ensured clean, reusable code.
LOC-Eight App: Developed and optimized a parking location guidance app, enhancing user satisfaction and reducing app crash rates.
Team Gear App: Developed a youth sports organization management app, improving team efficiency and user retention.
Listen IN App: Developed a real estate MVP app, optimizing UI and image rendering, and enhancing user engagement.
Technical Skills
Languages: Objective-C, Swift
Frameworks: iOS Core OS, macOS, Cocoa, Cocoa Touch
Version Control: Git, GitHub, AWS CodeCommit
IDE: Xcode
Design Patterns: MVVM, MVC
Other: Networking & GCD, Persistence Data, Server-Side Web Development, Swift Data Structures & Algorithms, CocoaPods, Shell Scripting, Unit Testing, iOS App Store Submission, Apple SDK, Asynchronous Tasks, JSON Parsing, SwiftUI
Certifications
Project Management: Agile, Waterfall
iOS Mobile Developer Nanodegree: Udacity
I'm passionate about leveraging my expertise in iOS development and GraphQL to drive innovation and deliver high-quality, user-centric applications. Let's embark on a learning journey together and take your iOS development skills to the next level!