MSDS 530 - Fundamentals of Data Science

Credit(s): 3 hours
Introduction to foundational concepts, technologies, and theories of data and data science. This includes methods in data acquisition, cleaning, and visualization. Taught in Python using NumPy, Pandas, Matplotlib, and Seaborn. Includes an introduction to Python, IPython, and Jupyter Notebooks. No prerequisites.