Introduction to Data Science with MATLAB and AWS

Modern organizations rely on data-driven decisions, but getting started with data science can feel overwhelming. This course simplifies the journey by teaching you how to analyze data and build predictive models using MATLAB. You will transition from understanding core data science terminology to importing, cleaning, and visualizing datasets. Through clear explanations and practical code examples, you will learn how to apply machine learning algorithms and leverage cloud resources to scale your data processing tasks efficiently. What you'll learn: - Understand foundational data science concepts, terminology, and the lifecycle of a machine learning project. - Prepare and clean raw datasets using MATLAB's intuitive low-code data processing tools. - Build regression and classification models using interactive machine learning workflows. - Visualize complex data trends using modern live scripts and built-in plotting functions. - Scale your computations by integrating MATLAB workflows with AWS cloud storage and computing resources. - Analyze model performance and learn how to choose the right algorithm for your specific business problems. The course begins with essential definitions and data preparation techniques before moving into practical machine learning workflows. You will then explore how to scale your projects using cloud integration and modern workflow automation. This course is designed entirely for beginners, and no prior background in data science or advanced programming is required. Start reading today to unlock the power of data science in your professional projects.