Computer Science Exam Prep with Python and Spreadsheets

Preparing for a comprehensive computer science examination requires a structured approach to theory, logic, and practical computing tools. This text-based course provides a systematic foundation in essential computer science principles, practical programming, and data analysis. What you will learn: Understand fundamental computer science terminology, number systems, and mathematical logic. Write functional Python code using clean structures, type hints, and built-in data types. Process and analyze tabular data efficiently using functions in Excel and LibreOffice Calc. Solve algorithmic challenges using logical tracing and systematic problem-solving methods. Apply core data structures and iteration patterns to practical computational problems. The course starts with essential definitions and theoretical foundations before moving into practical code walkthroughs and spreadsheet exercises. This course is ideal for beginners and students preparing for standard computer science exams with no prior background required. Begin reading today to build practical confidence and master key exam topics.