Data Science

# DS 3000: Foundations of Data Science

Lecture - 4 credits

ND

EI

IC

FQ

SI

AD

DD

ER

WF

WD

WI

EX

CE

- 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.

Introduces core modern data science technologies and methods that provide a foundation for subsequent Data Science classes.

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