Java Performance and Data Structures

Software that works with a handful of examples often fails when faced with thousands of real-world records. Understanding how to manage data efficiently is what separates a basic coder from a professional developer. This course teaches you how to evaluate code performance and choose the most effective data structures for any task. You will move beyond basic syntax to understand the underlying mechanics of how Java handles information at scale. What you'll learn: - Understand Big O notation to analyze and predict code efficiency - Compare and implement core Java collections including Lists, Sets, and Maps - Use modern Java Records and the Streams API for efficient data transformation - Apply basic benchmarking techniques to measure execution time accurately - Identify performance bottlenecks in common algorithms - Balance memory consumption with processing speed for optimal results The curriculum starts with foundational definitions of complexity and performance measurement before diving into the practical application of the Java Collections Framework. You will read through written explanations and apply your knowledge through text-based exercises. This course is designed for beginners; no previous experience with data structures or performance optimization is required. Start writing faster, more efficient Java code today.