Subject: Data Science
Course Number: 217
Course Title: Introduction to Python and Data Science Tools
Min units: 1      Max units: 2
School: Graduate Division
Department: Health Data Science Program

Course Description: This course provides an introduction to essential tools and skills for data science, focusing on Python programming and industry-relevant tools. Students will learn command line basics, version control with Git, documentation with Markdown, remote execution, and high-performance computing (HPC). Integrated throughout the course, the Python component covers syntax, flow control, data management, visualization, libraries for data science, and algorithms and data structures common in interviews.
Prerequisites: BIOSTAT 213 or equivalent (knowledge of probability/statistics and familiarity with programming concepts, e.g., from using R)
Restrictions: This course is part of the Health Data Science Masters and Certificate Program and may have space limitations.
Activities: Direct - Lecture, Direct - Workshop, 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: Fall
Course Grading Convention: Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)
Graduate Division course: Yes
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