Foundations of Data Science and Engineering

Curious about how raw data is transformed into powerful insights, but confused by the different roles and terminology? This course provides a clear and practical introduction to the distinct yet connected fields of data science and data engineering. You will gain a solid understanding of the entire data journey, from initial collection to final analysis. By exploring the core principles, common tools, and collaborative workflows, you'll learn how data engineers build the foundations that data scientists use to uncover value, making sense of the modern data landscape. What you'll learn: - Understand the core responsibilities and skills that differentiate data scientists and data engineers. - Learn the fundamentals of data modeling, storage solutions, and building reliable data pipelines (ETL/ELT). - Grasp the key concepts of exploratory data analysis, statistical methods, and machine learning. - Practice foundational SQL for querying and manipulating data in relational databases. - Explore the components of the modern data stack and the basic principles of MLOps. - Apply your knowledge by mapping out the stages of a complete data project from concept to conclusion. This course starts with foundational terminology and concepts before moving into the practical stages of both engineering and science. We'll examine each part of the data lifecycle through clear written explanations and examples. This course is designed for absolute beginners. No prior experience with programming, statistics, or data systems is required. Begin your journey into the world of data today.