Coding Interview Prep: Algorithmic Problem Solving and Codility Tasks

Succeeding in technical interviews requires more than just knowing how to write code; it demands a structured approach to solving complex algorithmic problems under time constraints. This text-only course guides you from programming basics to confidently solving technical screening challenges. You will learn how to analyze problems, choose the right data structures, and write optimized, clean code that passes automated testing suites. What you'll learn: 1. Understand foundational big-O notation to analyze time and space complexity. 2. Apply core data structures like arrays, linked lists, hash maps, and trees. 3. Solve classic algorithmic problems using sorting, searching, and dynamic programming. 4. Practice structured problem-solving strategies specifically tailored for Codility-style tests. 5. Write clean, modern code with proper type hints and basic unit tests to verify correctness. 6. Avoid common pitfalls and edge-case errors that fail automated grading systems. The journey begins with foundational computer science concepts and complexity analysis before moving into step-by-step written walkthroughs of real-world coding challenges. You will read detailed explanations of optimal solutions and practice translating these strategies into structured code. This course is designed for aspiring software engineers, self-taught programmers, and computer science students preparing for their first technical interviews. No prior experience with algorithmic testing platforms is required. Start reading today to sharpen your coding skills and approach your next technical interview with confidence.