Principal Component Analysis (PCA): From Theory to Application in R (Online Course)

"Principal Component Analysis (PCA): From Theory to Application in R" is an interactive, self-paced online course designed to teach both beginners and advanced users how to simplify complex data sets using PCA, a dimensionality reduction technique, in R.

Instructed by statistician, R programmer, and founder of Statistics Globe, Joachim Schork, the course unfolds over a planned 5-week duration but also offers flexibility for learners who would like to move on faster or slower.

It incorporates a variety of exercises, quizzes, and real-world projects to ensure practical application and consolidation of the learned skills.

The course maintains an engaging learning community through an exclusive group chat, while also providing access to all learning materials and resources unlimitedly after course completion.

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-course-pca-theory-application-r