Statistics Globe

Most data projects follow a clear sequential process:

1) Data Import
2) Data Manipulation
3) Data Visualization
4) Data Analysis

I’ve created a free YouTube video that walks through each of these steps using a reproducible example in R.
Watch it here: https://www.youtube.com/watch?v=l2OgR...

My comprehensive online courses follow this same structure. Let me give you a quick overview:

I offer an Introduction to R Programming for Absolute Beginners course, which covers the essential foundations: statisticsglobe.com/online-course-r-introduction

Building on that, the Data Manipulation in R Using dplyr & the tidyverse course shows you how to prepare your data using powerful tidyverse tools: statisticsglobe.com/online-course-data-manipulatio…

Next, the Data Visualization in R Using ggplot2 & Friends course teaches you how to create high-quality graphics with the famous ggplot2 package: statisticsglobe.com/online-course-data-visualizati…

As a follow-up, the Statistical Methods in R course explores a wide range of statistical techniques, from basic to more advanced: statisticsglobe.com/online-course-statistical-meth…

If you're working with high-dimensional data, you might be interested in Principal Component Analysis (PCA) – From Theory to Application in R, which dives deep into PCA methods and use cases: statisticsglobe.com/online-course-pca-theory-appli…

I'm currently offering a 33% discount on all courses until Wednesday, July 23. If you're interested in any of these topics, this is a great time to enroll.

You'll find a list of all my courses here: statisticsglobe.com/courses

By the way, all courses come with lifetime access, so you can enroll now and finish whenever it suits you.

Talk to you soon.

Joachim

#data #datascience #statistics #rstats #python

1 month ago | [YT] | 25