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Fall 2022
Mar 28, 2024
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  Select the Course Number to get further detail on the course. Select the desired Schedule Type to find available classes for the course.

PHP 2560 - Statistical Programming with R
Statistical computing is an essential part of analysis. Statisticians need not only be able to run existing computer software but understand how that software functions. Students will learn fundamental concepts – Data Management, Data types, Data cleaning and manipulation, databases, graphics, functions, loops, simulation and Markov Chain Monte Carlo through working with various statistical analysis. Students will learn to write code in an organized fashion with comments. This course will be taught using both R and Julia languages in a flipped format.
Non-Biostatistics graduate students who have taken PHP 2510 (or an equivalent course) can request instructor permission to enroll.
0.000 OR 1.000 Credit hours
0.000 OR 1.000 Lecture hours
0.000 Lab hours

Levels: Graduate, Undergraduate
Schedule Types: Discussion Section/Conference, Primary Meeting

Public Health Department


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