Abstract
Through the course of smart data analytics, we want students to complete three steps to learn problem-solving skills. The three steps include problem-oriented, symbolic & model, and programming language. This course has industry and academic cases, including medical, factory, business, etc. to allow students to practice three steps; and these cases also lead us to propose a new design. Problem-oriented: Implement the actual cases. Train how to use data analysis methods in health care systems and factories, etc. to improve the quality (efficiency) and efficiency (efficiency) of the system. Symbol & model: From the perspective of mathematical logic training. Understanding any model starts with the definition of the symbol. The symbols must be clearly defined to make sense, and then enter the model will be meaningful. Programming language: The field of machine learning is changing rapidly. When making decisions, you should focus on how to choose the right classification, algorithm or parameters, and so on. Don't spend too much time digesting the details of the program, because there are already many programs available on the Internet for us to cut and paste, and students should Take a holistic view of things.