HI 2021 - PRACTICAL STATISTICS AND PROGRAMMING USING R
Minimum Credits: 3
Maximum Credits: 3
This course provides an introduction to statistical methods and computer programming in R that are essential for data scientists. This course covers practical statistics from the perspective of data science in health care and how to apply various statistical methods to data analytics projects. In addition, this course introduces the most widely used statistical programming tools in data science: R. Prior experience in R is not expected in this course, however, familiarity with basic statistics concepts and modern programming language will be very useful. The approach of this course is practical, hands-on and project oriented.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade
Click here for class schedule information.
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