© 2025 ActuaRise
DURATION: 16 hours
PRICE: 1490€ all tax incl. per participant
R Predictive Analytics & Data Science
R Predictive Analytics course is based on a real-life Use Case involving an insurance portfolio.
This course covers main Predictive Models 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 Predictive Modeling.
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.
This course covers main Predictive Models 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 Predictive Modeling.
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.
FEBRUARY 10-17, 2025
13H-17H
Monday, Wednesday, Friday from 13h to 17h (4 sessions of 4h each)
APRIL 2-9, 2025
13H-17H
Monday, Wednesday, Friday from 13h to 17h (4 sessions of 4h each)
JUNE 9-16, 2025
13H-17H
Monday, Wednesday, Friday from 13h to 17h (4 sessions of 4h each)
SEPTEMBER 22-29, 2025
13H-17H
Monday, Wednesday, Friday from 13h to 17h (4 sessions of 4h each)
NEXT SESSIONS
On completion of this course, you will be able to:
Prepare data for predictive modeling and Machine Learning models.
Set up predictive models in R:
Apply best practices for data preparation, validation, and evaluation of models in actuarial contexts.
Set up predictive models in R:
- 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.
- Implement and optimize GBM, XGBoost, and RNN models.
- Perform parameter tuning via GridSearch.
- Validate and evaluate models.
Apply best practices for data preparation, validation, and evaluation of models in actuarial contexts.
COURSE DETAILS
• At least 1 month's previous experience with R
• Knowledge of basic statistical concepts
• Background in actuarial sciences is desirable
• Knowledge of basic statistical concepts
• Background in actuarial sciences is desirable
• Actuaries and statistical analysts wishing to acquire full and advanced predictive modeling and data science skills
• 100% distance learning: Training sessions will take place online, enabling participants to access courses from anywhere, at their convenience.
• Lead 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.
• 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.
• Documentation resource base: A documentation resource base will be made available, including supporting documents and ancillary resources to deepen knowledge and facilitate continuous learning.
• Supporting documents will be available in your online workspace after the course
Inter-company training courses that are not fully booked are subject to a sufficient number of candidates. Cancellation or postponement decisions are usually made 4 to 6 weeks before the date indicated.
Intra-company training courses can be organized in a few hours, subject to availability of instructors for the desired program.
Contact us at contact@actuarise.co to find out more: we'll get back to you within 48 hours.
Intra-company training courses can be organized in a few hours, subject to availability of instructors for the desired program.
Contact us at contact@actuarise.co to find out more: we'll get back to you within 48 hours.
You can contact us via our online contact form or by email at contact@actuarise.co. Our team is available to answer all your questions. We'll get back to you within 48 hours.
Download the detailed program
R Predictive Analytics Course