Foundations of Algorithms, Data Structures, and Coding Interviews

Cracking the technical interview requires more than just knowing how to write code; it demands a deep, structural understanding of how to solve complex problems efficiently. This text-based course guides you through the fundamental building blocks of computer science, from basic complexity analysis to advanced optimization techniques. You will transition from writing brute-force solutions to designing elegant, optimized algorithms. By studying clear written breakdowns of classical problems, you will learn how to analyze runtime complexity, select the right data structures, and approach coding interview questions with systematic confidence. What you'll learn: - Understand Big O notation and learn how to analyze the time and space complexity of any algorithm. - Implement core data structures, including arrays, matrices, linked lists, and trees, using clean and modern programming practices. - Master essential search and sort algorithms to solve data manipulation challenges efficiently. - Apply mathematical algorithms and number system conversions to tackle specialized computational problems. - Solve realistic algorithmic interview questions by breaking down complex problem statements into structured, step-by-step solutions. - Practice modern code formatting and basic testing principles to ensure your algorithmic solutions are robust and readable. The course begins with foundational definitions and complexity theory before moving into hands-on problem-solving techniques. You will progress through structured written explanations, step-by-step code walkthroughs, and conceptual exercises modeled after real-world technical interviews. This course is designed for beginner programmers and self-taught developers who want to build a strong computer science foundation. No advanced mathematical background or prior algorithm experience is required. Start reading today to build your problem-solving toolkit and prepare for your next technical interview.