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 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