HI 1020 - HEALTH DATA SCIENCE PROGRAMMING USING PYTHON AND R
Minimum Credits: 3
Maximum Credits: 3
This course introduces the two most widely used statistical programming tools in data science: R and Python. Students will learn how to do data processing of various types of data and prepare the data to be ready for statistical analyses and machine learning. Programming techniques and analyses that are essential for health data scientists will be covered. This course will also cover the applications of graphical techniques and visualization for health data. This course covers how to do programming to implement various statistical methods and machine learning algorithms from the perspective of health data science. The approach of this course is practical, hands-on and project oriented.
Academic Career: Undergraduate
Course Component: Lecture
Grade Component: Letter Grade
Course Requirements: Restricted to PLANS: HIM-BS, BPH, or BS-H
Click here for class schedule information.
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