Fundamentals of Data Science ((4 Credits))

Catalog description

Data science is transforming industries by enabling data-driven decision-making, predictive analytics, and automation. This course introduces fundamental data science concepts, covering the full data science lifecycle from data acquisition and preprocessing to exploratory analysis, visualization, and predictive modeling. Students will work with structured and unstructured data, apply basic machine learning models, and explore applications across multiple domains. Ethical concerns such as bias, privacy, and responsible AI use will be addressed. Hands-on assignments will use Python to build practical data analysis skills. Prerequisites: CSCI 2020 : Introduction to Programming with Python or basic proficiency in Python and Statistics.