Subject: Data Science
Course Number: 223
Course Title: Applied Data Science with Python
Units: 2
School: Graduate Division
Department: Health Data Science Program

Course Description: Survey of Data Science methods in Python, starting with common data science tools and processes and spending one week per topics learning to build common ML/AI solutions.
Prerequisites: Familiarity with programming concepts, including loops, variables, and functions. Ideally, hands-on experience writing and running scripts such as in: Python, R, Bash, or other programming languages.
Restrictions: This course is part of the Health Data Science Masters and Certificate Program and may have space limitations. Auditing is not permitted.
Activities: Direct - Lecture, Direct - Workshop, Direct - Project, Student - Lecture

Instructor of Record: J. Kornak
May the student choose the instructor for this course? No
Does enrollment in this course require instructor approval? No

Quarter(s) Offered: Winter
Course Grading Convention: Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)
Graduate Division course: Yes
Is this a web-based online course? No
Is this an Interprofessional Education (IPE) course? No
May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes
Repeat course for credit? No