Aspiring Data Scientists with a wish to deepdive on the most important technologies.

Aimed at:

Delivery method:

Formal training and practice intertwined

Prerequisites:

Required preparation:

Basic understanding of linear regression, knowledge of programming basics (not necessarily in R)

Bring a laptop with RStudio installed

3-4 hours

Practitioner

Duration:

Skill level:

Prefered group size:

+/-10 participants per trainer

Course description

This training provides a general introduction into logistic regression as a method for classification. It discusses the difference between linear and logistic regression, the algorithm underlying logistic regression, and some common pitfalls when applying it. It further provides a hands-on application in R, in which participants work through an R script in which they apply the learned concepts to model trial versus settlement outcomes in patent litigation.

Learning objective

Upon completion of this training, participants will understand the intricacies of logistic regression, and will be able to apply it in realistic R scenarios.