(Link do certificado para download)
ID da licença: ff790720ef23fc9bdfbe4634a0ea11f3ab61aa7a
This hands-on-course with real-life credit data will teach you how to model credit risk by using logistic regression and decision trees in R.
Modeling credit risk for both personal and company loans is of major importance for banks. The probability that a debtor will default is a key component in getting to a measure for credit risk. While other models will be introduced in this course as well, you will learn about two model types that are often used in the credit scoring context; logistic regression and decision trees.
(Link do certificado para download)
ID da licença: cc34be2d16d9d1940c907fbc021f7061bfb875e4
The role of a data scientist is to turn raw data into actionable insights. Much of the world’s raw data—from electronic medical records to customer transaction histories—lives in organized collections of tables called relational databases. Therefore, to be an effective data scientist, you must know how to wrangle and extract data from these databases using a language called SQL (pronounced ess-que-ell, or sequel).