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Fall 2019 Semester
Nov 13, 2019
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Information Select the desired Level or Schedule Type to find available classes for the course.

DS 3000 - 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.
4.000 Credit hours
4.000 Lecture hours

Levels: Undergraduate
Schedule Types: Lecture

Data Science Department

Course Attributes:
NUpath Analyzing/Using Data, Computer&Info Sci

Restrictions:
Must be enrolled in one of the following Levels:     
      Undergraduate

Prerequisites:
Undergraduate level CS 2510 Minimum Grade of D- or Undergraduate level DS 2000 Minimum Grade of D-

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