Foundations of Data Science and Artificial Intelligence

Data science and artificial intelligence are transforming every industry, yet getting started can feel overwhelming with all the technical jargon. This course breaks down complex concepts into digestible, easy-to-understand explanations designed for absolute beginners. You will go from having zero technical background to confidently discussing and applying core data science workflows and AI models. You will understand how data is collected, analyzed, and used to train modern AI systems. What you'll learn: - Understand the core differences between data science, machine learning, and artificial intelligence - Learn how to structure data workflows from initial collection to final analysis - Explore foundational machine learning algorithms and how they learn from data - Practice interpreting key statistical concepts used in daily data decision-making - Discover modern AI developments, including large language models and prompt engineering basics - Configure simple data analysis steps conceptually using modern dataframe approaches The course starts with foundational terminology, defining data roles and AI concepts clearly before moving into practical workflows. You will progress through the data pipeline, explore machine learning basics, and examine real-world AI applications. This course is designed for absolute beginners, business professionals, and aspiring tech enthusiasts. No prior programming or advanced mathematics experience is required. Start reading today to build your foundation in the technologies shaping our future.