Predictive Analytics
1490€
per participant
Qualified training
Predictive Analytics R course is based on a real-life Use Case involving an insurance portfolio.
This module provides an introduction to generalized linear models (GLM) and Data Science machine learning algorithms using R, with their application to actuarial modeling and underwriting. Throughout the course, participants will acquire practical skills from A to Z and deepen their understanding of the key concepts and techniques used in P&C underwriting.
The skills acquired can then be directly applied to any other issue linked to the study of customer behavior, such as the construction of churn or attrition scores.
We also offer customized training in the construction of attrition and churn scores! For more information, please contact us directly.
R is free and open source. For more information, visit http://cran.r-project.org/.
Prepare data for predictive modeling and Machine Learning models.
On completion of this course, you will be able to:
Set up predictive models in R:
Advanced Modeling Techniques:
Produce and validate an auto insurance rate using Machine Learning algorithms.
Apply best practices for data preparation, validation, and evaluation of models in actuarial contexts.
DURATION: 16 hours
R Data Analysis
Predictive Modelling
Implement and optimize GBM, XGBoost, and RNN models.
Perform parameter tuning via GridSearch.
Data Science
Validate and evaluate models.
Apply the basic principles of predictive modeling.
Implement and validate linear and logistic regressions in R.
Use advanced techniques like Naive Bayes, KNN, decision trees, random forests, and SVM.
Upcoming sessions
To keep up to date with our next training sessions, you can apply directly to our training courses or subscribe to our newsletter. We organize training sessions on a quarterly basis, and the dates of these sessions will be communicated to you by email:
Prerequisites
Participant profile
Actuaries wishing to acquire full and advanced actuarial modeling and data science skills with R.
100% distance learning: Training sessions will take place online, enabling participants to access courses from anywhere, at their convenience.
At least 1 month's prior experience with R
Taught by industry professionals: Courses will be delivered by a qualified and experienced instructor currently working in the insurance field, offering in-depth and relevant market expertise.
Personalized support: Participants will benefit from personalized support and guidance, answering their specific questions and guiding them through the course.
Knowledge of basic statistical concepts
A background in actuarial sciences is desirable
The number of students is limited to 10.
Access to a dedicated RCloud workspace: Participants will have access to a dedicated RCloud workspace that will remain accessible 1 month after the end of the course.
The course is practice-oriented, this will enable participants to put the concepts they have learned into practice and acquire practical experience.
Teaching and technical resources
To meet participants' needs, the training will be entirely online, delivered via RCloud platform.
Documentation resource base: A documentation resource base will be made available, including supporting documents and ancillary resources to deepen knowledge and facilitate continuous learning.
Access to our online community platform.
Supporting documents will be available in your online workspace after the course
Regular users of other statistical or pricing software who wish to become expert with actuarial analysis and modeling using R.
Download the detailed program
Predictive Analytics Course
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