HI 2020 - PRACTICAL STATISTICS & PROGRAMMING USING PYTHON AND R

Minimum Credits: 3
Maximum Credits: 3
This course provides an introduction to statistical methods and computer programming that are essential for data scientists. This course covers fundamental statistics from the perspective of data science in health care and how to apply various statistical methods to data science. This course provides introduction to the two of the most widely used statistical programming tools in data science: R and Python. Prior experience in R and Python is not expected in this course, however, familiarity with basic statistical concepts and modern programming language will be very useful. The approach of this course is practical, hands-on and project oriented. The goal of the course is to provide students with skills of solving various problems in health informatics using R and Python.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade

Click here for class schedule information.

Add to Portfolio.

Close Window