Course Credit Risk Modeling in R
Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.
This online course about Credit Risk Modeling in R covers a key part of what a future data analyst would require.
Enroll now in this Credit Risk Modeling in R course, and don’t miss the opportunity of learning with the best, as Lore Dirick is. With 52 enriching exercises, 16 videos, and an estimated time of 4 hours to successfully end up the course, you will become one of the best.
Manager of Data Science Curriculum at Flatiron School
Lore is a data scientist with expertise in applied finance. She obtained her PhD in Business Economics and Statistics at KU Leuven, Belgium. During her PhD, she collaborated with several banks working on advanced methods for the analysis of credit risk data. Lore formerly worked as a Data Science Curriculum Lead at DataCamp, and is now the Manager of Data Science Curriculum at Flatiron School, a coding bootcamp in NYC.