Course Description

This course introduces the foundational concepts, methods, and tools of data science and artificial intelligence (AI). Topics include data collection and cleaning, exploratory data analysis, statistical and data modeling techniques, data visualization, and the ethical implications of AI. Students will develop a strong foundation in understanding how data can be leveraged to make predictions and informed decisions across various domains. This course combines theory and practical applications, equipping students with the skills needed to analyze data, understand AI’s potential and limitations, and create basic models that can learn from data.