Neural Networks for Business Analytics with R

Neural Networks for Business Analytics with R

Would you like to build predictive models using neural networks? That´s precisely what you will learn in this course “Neural Networks for Business Analytics.” My name is Carlos Martínez, I have a Ph.D. in Management from the University of St. Gallen in Switzerland. I have presented my research at some of the most prestigious academic conferences and doctoral colloquiums at the University of Tel Aviv, Politecnico di Milano, University of Halmstad and MIT. Furthermore, I have co-authored more than 25 teaching cases, some of them included in the case bases of Harvard and Michigan.

This is a very comprehensive course that includes presentations, tutorials, and assignments. The course has a practical approach based on the learning-by-doing method in which you will construct a credit scoring predictive model using a real dataset from a car dealer in a developing country. In addition to the videos, you will have access to the R code that we will develop in the videos and to the solutions of the assignments included in the course with which you will self-evaluate and gain confidence in your new skills.

The ideal students of this course are university students and professionals interested in business analytics. This is an introductory course and the only requirement a basic knowledge of spreadsheets and Rstudio.

I hope you are ready to upgrade yourself and learn to build a predictive model using neural networks. I´ll see you in class!

Learn to create a deep learning credit scoring prediction model with the package NeuralNet of Rstudio

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What you will learn

• Understand the intuition behind Artificial, Recurrent, and Convolutional Neural Networks (ANN, RNN, and CNN)
• Understand the intuition behind Credit Scoring Models
• Build a Credit Scoring Prediction Model using Neural Networks with R´s package NeuralNet

Rating: 4.15

Level: All Levels

Duration: 2.5 hours

Instructor: Carlos Martínez, PhD