DSCI3000: Foundations of Data Science

Introduces core modern data science technologies and methods that provide a foundation for subsequent Data Science classes. Covers working with tensors and applied linear algebra in standard numerical computing libraries (e.g., NumPy); processing and integrating data from a variety of structured and unstructured sources; introductory concepts in probability, statistics, and machine learning; basic data visualization techniques; and now standard data science tools such as Jupyter notebooks.

Modality: online