DA-720 Data Analytics Toolkit II

Prerequisite: DA-620. This course covers the more advanced multivariate statistical methods used in healthcare data analysis than those covered in Data Analytics Toolkit I. These methods include non-linear regressions, logistic regressions, ordered logit and multinomial logit, and random and fixed effect models. Students will also learn how to apply these methods using the statistical software package R/RStudio. The course covers more advanced data wrangling that is necessary for data analysis. It uses examples from the healthcare industry.  Toolkit 2 and 3 do not need to be taken sequentially.

Credits

3