Coding Test Prep: Essential Algorithms and Problem Solving

Landing your first developer role often depends on passing the technical coding test, which can feel intimidating if you do not know where to start. This text-based course guides you through the foundational concepts of data structures and algorithms, transforming how you approach complex problems. You will learn to analyze problem requirements, select the right approach, and write clean, efficient code that passes edge cases.\n\nWhat you'll learn:\n- Understand core data structures including arrays, hash maps, stacks, queues, and trees\n- Apply essential algorithmic patterns like binary search, recursion, and two-pointer techniques\n- Analyze time and space complexity using Big O notation to optimize your solutions\n- Practice step-by-step problem-solving strategies to break down complex interview questions\n- Write clean, modern, and readable code that satisfies strict execution limits\n- Identify common patterns and edge cases to avoid typical coding test traps\n\nYou will start with fundamental definitions and complexity analysis before moving on to practical, step-by-step breakdowns of classic coding test problems, helping you build strong problem-solving intuition. This course is designed for aspiring developers and beginners preparing for their first technical interviews, with no prior algorithm experience required. Start reading today to build the confidence and skills needed to pass your coding tests.