Computer Science Fundamentals: Number Systems, Algorithms, and Python

Every modern software developer, data professional, and tech enthusiast needs to understand how computers actually process, store, and manipulate data. This course bridges the gap between abstract mathematical concepts and practical programming logic. You will transition from a curious beginner to a structured thinker who understands binary arithmetic, data encoding, and algorithmic design, preparing you for any technical path you choose. What you'll learn: - Understand the properties of digital information and how data is measured in bits, bytes, and modern storage units. - Convert numbers between binary, octal, decimal, and hexadecimal systems with ease. - Explain how computers encode real-world data like text, images, and audio into binary code using modern standards. - Design logical algorithms using linear structures, conditional branching, and loops. - Write basic Python programs using modern conventions like type hints to solve computational problems. - Apply structured algorithmic thinking to break down complex problems into manageable steps. This text-only course begins with foundational definitions of information theory, data units, and number systems. You will then explore how computers represent media and text, analyze the logic of flowcharts, and practice translating those algorithms into clean, modern Python code. Written explanations and interactive code snippets will guide you through every step. This course is designed for complete beginners with no prior background in computer science, mathematics, or programming. Start building your technical foundation today.