Learn to produce dynamic dashboards with RShiny during our R Expert course
R EXPERT
Advanced Data Analytics
R PREDICTIVE ANALYTICS
& Data Science
Introduction to R / RStudio / RMarkdown environments.
Data preprocessing for predictive analytics, variables imputation, managing train/test data sets, unbalanced classes, dummies variables and more...
Data manipulation operations (filter, sort, aggregate, transform, etc.) as an organized processing flow.
Advanced modeling techniques : Logistic Regression, KNN, GLM, Random Forests, Gradient Boosting, Neural Network,…
Introduction to Data Viz
Model validation techniques
Learn how to efficiently process and manipulate your data in R
Understand and handle different types of data and data structures
Dynamic reporting with RMarkdown
R Syntax, functions, ifelse statements, loops…
Implementation under R with a real use case – producing a ratemaking for an auto-insurance portfolio
Full overview of Predictive Modelling and Machine Learning algorithms for Insurance purposes
Efficiently preprocess data for advanced analysis.
Master advanced data manipulation techniques and establish a structured preprocessing workflow.
Conduct exploratory data analysis on a real use case and insurance portfolio.
Create interactive and visually appealing graphs (advanced Data Viz)
Produce interactive dashboards
Build your first RShiny App