Data Science Foundations and Lifecycle

The ability to transform raw data into actionable insights is one of the most valuable skills in the modern economy. This course introduces you to the core principles of data science, providing a clear roadmap for anyone looking to enter this dynamic field. You will progress from learning basic terminology to understanding how data projects are structured and executed in professional environments. By the end of this course, you will have a solid grasp of the tools, languages, and methodologies used to solve complex problems with data. What you'll learn: - Understand the core definitions and the end-to-end data science lifecycle - Explore the programming landscape, including modern dataframe libraries and essential coding tools - Apply foundational machine learning concepts to understand how algorithms identify patterns - Practice mapping out the analytics landscape and organizational data workflows - Discover modern trends such as prompt engineering basics and data ethics - Master the logic behind data cleaning, exploration, and analysis techniques The course begins with essential theory and terminology before moving into the practical stages of data processing and model development. This text-based program is built for beginners with no prior technical background or mathematical prerequisites. Begin your journey into the world of data-driven decision-making.