Coding Interview Prep: Data Structures and Algorithms

Preparing for coding interviews can feel overwhelming, especially when faced with complex data structures and abstract algorithmic puzzles. Many candidates struggle not because they cannot code, but because they do not understand the underlying patterns that interviewers look for. This text-based course demystifies the technical interview process by focusing on the core data structures and algorithmic patterns most frequently tested in real-world assessments. You will transition from memorizing solutions to understanding how to analyze problems systematically and write clean, optimized code. What you'll learn: - Understand foundational data structures including arrays, linked lists, trees, and hash tables. - Apply essential algorithmic patterns like binary search, two pointers, recursion, and sorting. - Analyze time and space complexity using Big O notation to write highly efficient solutions. - Identify common interview pitfalls and edge cases that often catch candidates off guard. - Practice translating abstract problem statements into structured, readable code snippets. - Learn how to communicate your problem-solving process clearly, as expected by tech interviewers. The course begins with foundational computer science definitions and basic data structures before moving step-by-step into complex algorithmic patterns and optimization strategies. Through clear written explanations and detailed code walkthroughs, you will build a structured mental framework for problem-solving. This course is designed for aspiring software engineers, self-taught developers, and computer science students preparing for technical interviews. No prior interview experience is required; basic programming knowledge in any language is sufficient. Start reading today and approach your next technical interview with confidence.