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. Show more.