Data Science Fundamentals and Career Paths

Data science is driving decisions across every major industry, yet starting out can feel overwhelming with so many tools, languages, and methodologies to choose from. This course demystifies the field, giving you a clear map of the essential concepts, modern tools, and career directions available to you. You will transition from feeling confused about data science terminology to confidently discussing and planning real-world data projects. What you'll learn: Understand core data science concepts, statistical foundations, and lifecycle phases; Explore the modern data stack including Python, SQL, and key machine learning libraries; Learn how vector databases and retrieval-augmented generation (RAG) are transforming data roles today; Compare different career paths such as data analyst, data engineer, and machine learning specialist; Practice structuring data problems and translating business requirements into technical steps. The course begins with foundational definitions and key terminology before exploring practical workflows, modern tools, and industry-standard career pathways. This course is designed specifically for beginners with no prior technical background or programming experience. Begin your journey into the world of data and build a solid foundation for your future career today.