Linkedin R Essential Training Part 2: Modeling Data !free! Jun 2026

: Predicting quantitative outcomes and using regularization to prevent overfitting.

Click Start Course and bring your RStudio session. By the end of Part 2, you will no longer see data as numbers in rows – you will see it as a story waiting to be modeled. linkedin r essential training part 2: modeling data

is a popular intermediate-level course on LinkedIn Learning taught by data scientist Barton Poulson. The course focuses on using the R programming language to move beyond basic data visualization and into advanced statistical modeling and predictive analytics. Course Overview and Structure is a popular intermediate-level course on LinkedIn Learning

Designed for analysts, aspiring data scientists, and business intelligence professionals, this hands‑on training strips away academic abstraction and focuses on applied modeling using real‑world, messy datasets—sales records, marketing funnels, operational logs, and survey data. The heart of data science lies in prediction

The heart of data science lies in prediction. This course introduces learners to several Data Modeling Online Training Courses concepts that form the backbone of machine learning.

: Identifying relationships between variables to see which factors move together.