Missing Data Imputation in R (Online Workshop)

"Missing Data Imputation in R" is an interactive 8-week workshop designed to equip participants with advanced skills for handling missing data using the R programming language.

Instructed by statistician, R programmer, and founder of Statistics Globe, Joachim Schork, this workshop combines theoretical insights, hands-on exercises, and collaborative learning in a focused group limited to a maximum of 15 participants. Each weekly session lasts 1.5 hours, providing a dynamic environment where participants can engage directly with the instructor and peers to tackle real-world scenarios.

All sessions are recorded, and participants will have lifetime access to recordings, learning materials, and additional resources, allowing for continued learning and review. In addition, a comments feature will be available, enabling participants to ask questions, share progress, and get support between sessions, ensuring a smooth and engaging learning experience.

Join this workshop to gain expertise in missing data imputation, master state-of-the-art techniques using the widely trusted mice package, and build confidence in managing missing data challenges effectively.

The course ensures a risk-free investment by offering a 30-day money-back guarantee after purchase.

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