GLM Modeling ★★★★ Master Level
Generalized linear models (GLMs) drive some of our most important decisions in life. Your insurance premium, your credit card limit or your mortgage loan, are likely all influenced by GLMs determining the risk for the company, and there also indicating the prices that are set. But as advanced statistical models, GLMs are also used in many other fields besides Risk Modeling. As an expert in Data Science these techniques should definitely be in your modeling tool set.
Topics Machine Learning & Statistics
Course Badge
2 days
Recommended Level
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GLM Modeling

About the course

This course will teach you the core of how GLMs work. We will give you a complete overview of all techniques, when to use them and how to use them in practice. By applying it on multiple cases you get hands-on experience with implementing these models. Besides, with the use of examples from different industries, we also will help you identify where these GLMs can help you obtain impact within your organization.  

Why this is for you

Do you want to extend your modeling tool set with some valuable statistical techniques? Following this course will make you an expert in the application of GLMs within the modeling process, and show you where the opportunities are.  

For whom

This course is for Data Scientists in general, but specifically also aimed at anyone involved in Risk Modeling, Event Modeling or any other field where GLM is often used.  

What you’ll learn

Learning Goals
  • Intuition and conceptual knowledge of how GLMs work
  • Guidelines to interpret and validate output of GLMs
  • Hands-on coding experience with applying several GLMs
  • Application of GLMs within use cases for different fields of practice, for example in Risk
  Theory and practical use All trainings in the GAIn portfolio combine high-quality standardized training material with theory sessions from experts and hands-on experience where you directly apply the material to real-life cases. Each training is developed by top of the field practitioners which means they are full of industry examples along with practical challenges and know-how, fueling the interactive discussions during training. We believe this multi-level approach creates the ideal learning environment for participants to thrive.