Data Structures for Coding Interviews: Arrays, Lists, and Maps

Preparing for technical interviews requires a clear grasp of foundational data structures and how to choose the right one for any problem. This written course helps you understand core computing concepts and algorithm efficiency so you can solve coding challenges effectively. You will learn how data is stored, accessed, and manipulated across essential structures, giving you the theoretical knowledge and practical reasoning skills needed for coding assessments. What you'll learn: - Understand foundational terminology, memory allocation, and Big O complexity analysis - Analyze arrays and linked lists to manage sequential data effectively - Implement stacks and queues for specialized data retrieval patterns - Use sets and associative arrays for fast lookup operations - Evaluate time and space trade-offs across different structural choices - Apply problem-solving strategies to common coding interview patterns The course begins with essential terminology, Big O notation, and memory layout fundamentals before exploring individual data structures step by step. You will then review practical trade-offs and common algorithmic patterns through written explanations and illustrative code snippets. This course is designed for beginner developers, computer science students, and job seekers preparing for software engineering interviews. No advanced algorithmic background is required. Start reading today to sharpen your technical interview skills.