Missing Data Imputation in R (Online Course)

"Missing Data Imputation in R" is an interactive, self-paced online course designed to help both beginners and advanced users master the handling and imputation of missing data using the R programming language.

Instructed by statistician, R programmer, and founder of Statistics Globe, Joachim Schork, the course is structured into 12 comprehensive modules. It follows a suggested 6-week learning path but offers full flexibility for those who prefer to study at their own pace. You’ll receive lifetime access to all pre-recorded videos, R scripts, and supporting materials, allowing you to revisit the content whenever you like.

The course also maintains an engaging learning environment through an exclusive comments section, where participants can ask questions and connect with others. It includes a variety of exercises, quizzes, and real-world projects to ensure practical application and reinforce what you learn.

Your enrollment is completely risk-free, backed by a 30-day money-back guarantee.

Please take a look at the official course registration page for more details: https://statisticsglobe.com/online-course-missing-data-imputation-r