Enroll Course: https://www.udemy.com/course/formacao-data-science-criacao-de-um-credit-score-com-python/
If you’re interested in understanding how financial institutions assess credit risk using data-driven techniques, the Udemy course ‘Credit Score – Módulo 1: Regressão Logística em Python’ is an exceptional resource. This course demystifies the process of building a credit scoring model with a hands-on approach, making it ideal for beginners and intermediate learners alike.
The course provides a detailed, step-by-step guide to constructing a credit score model using logistic regression, one of the most widely used methods in credit risk modeling. It covers essential topics such as data understanding and preparation, variable selection, model fitting, and evaluation. What sets this course apart is its practical focus: students will be able to reproduce all the exercises and applications presented, thanks to the availability of all course materials including Python notebooks.
Conducted entirely in Portuguese, the course ensures accessibility for Portuguese-speaking learners. The instructor emphasizes real-world application, illustrating how banks and financial institutions utilize various data points—such as demographic information, credit behavior, and regional statistics—to assign credit scores that determine lending decisions. This knowledge is invaluable for anyone interested in finance, data science, or risk management.
Whether you aim to develop your skills for a career in banking, fintech, or data analysis, this course offers a comprehensive introduction to credit scoring models. The practical exercises, coupled with thorough explanations, make it easier to grasp complex concepts and apply them immediately. Overall, I highly recommend this course for anyone looking to gain a solid foundation in credit risk modeling using Python.
Enroll Course: https://www.udemy.com/course/formacao-data-science-criacao-de-um-credit-score-com-python/