R for Data Science: Modeling
Continue on the journey to Data Science by learning how to implement some commonly used statistical models in R.
Location
Jones Media Center - Innovation Studio (Berry Library Second Floor)
Sponsored by
Information Technology Services
Audience
Faculty, Postdoc, Staff, Students-Graduate, Students-Undergraduate
Registration required
A model is used to capture the patterns of a dataset and a low-dimensional summary of a dataset. From this workshop you will learn how to use R to implement some commonly used statistical models, from ordinary linear regression, logistical regression, to generalized linear mixed model, etc. Knowledge of basics of R and linear regression are required to attend this workshop.
Please register here.
Location
Jones Media Center - Innovation Studio (Berry Library Second Floor)
Sponsored by
Information Technology Services
Audience
Faculty, Postdoc, Staff, Students-Graduate, Students-Undergraduate
Registration required
