As recently announced, I’ve reopened all Statistics Globe courses, and there’s currently a 33% discount available until July 23.
Still unsure whether to enroll in one or more of my courses? In this post, I’ve included several YouTube videos that give you a preview of what to expect. You’ll not only get an idea of the course content, but also see my teaching style and how I explain R programming topics.
Below are some free YouTube videos that might interest you!
This video walks through several data manipulation steps in R using the tidyverse. It’s a great preview of my course on Data Manipulation in R Using dplyr & the tidyverse: statisticsglobe.com/online-course-data-manipulatio…
The ggplot2 package is widely used for data visualization in R, and there are many extension packages that allow you to customize your graphs in detail. This video introduces five of my favorite extensions, all of which are explained in the course on Data Visualization in R Using ggplot2 & Friends: statisticsglobe.com/online-course-data-visualizati…
ANOVA is a common statistical method used to compare groups. In this video, I show how to apply it in R. You can learn this and many other methods in my course on Statistical Methods in R: statisticsglobe.com/online-course-statistical-meth…
Sometimes it's worth diving deeper into a single method. For that reason, I’ve dedicated an entire course to Principal Component Analysis (PCA): From Theory to Application in R. In the video above, I demonstrate how to combine PCA with another popular method, k-means clustering. You can find the course description here: statisticsglobe.com/online-course-pca-theory-appli…
If you're worried your R programming skills aren’t yet strong enough, take a look at my course on Introduction to R Programming for Absolute Beginners. In this course, I explain the absolute basics of R and how to apply them in practice. It’s a great starting point before moving on to the other courses: statisticsglobe.com/online-course-r-introduction
By the way, if you haven’t subscribed to my YouTube channel yet, make sure to do so. You'll find over 1,200 free videos on R programming, Python, statistics, and data science: youtube.com/@StatisticsGlobe
I hope you enjoy the free videos, and I’d be happy to welcome you to one or more of my comprehensive courses.
Statistics Globe
As recently announced, I’ve reopened all Statistics Globe courses, and there’s currently a 33% discount available until July 23.
Still unsure whether to enroll in one or more of my courses? In this post, I’ve included several YouTube videos that give you a preview of what to expect. You’ll not only get an idea of the course content, but also see my teaching style and how I explain R programming topics.
Below are some free YouTube videos that might interest you!
Data Manipulation:
Video on How to Import, Manipulate & Visualize Data Using the tidyverse in R: https://www.youtube.com/watch?v=XGBjy...
This video walks through several data manipulation steps in R using the tidyverse. It’s a great preview of my course on Data Manipulation in R Using dplyr & the tidyverse: statisticsglobe.com/online-course-data-manipulatio…
Data Visualization:
Video on the Best ggplot2 Extensions for Data Visualization in R: https://www.youtube.com/watch?v=44hTs...
The ggplot2 package is widely used for data visualization in R, and there are many extension packages that allow you to customize your graphs in detail. This video introduces five of my favorite extensions, all of which are explained in the course on Data Visualization in R Using ggplot2 & Friends: statisticsglobe.com/online-course-data-visualizati…
Data Analysis:
Video on How to Apply an Analysis of Variance (ANOVA) in R: https://www.youtube.com/watch?v=m9hdL...
ANOVA is a common statistical method used to compare groups. In this video, I show how to apply it in R. You can learn this and many other methods in my course on Statistical Methods in R: statisticsglobe.com/online-course-statistical-meth…
Principal Component Analysis (PCA):
Video on How to Apply PCA before K-means Clustering in R: https://www.youtube.com/watch?v=nzhSj...
Sometimes it's worth diving deeper into a single method. For that reason, I’ve dedicated an entire course to Principal Component Analysis (PCA): From Theory to Application in R. In the video above, I demonstrate how to combine PCA with another popular method, k-means clustering. You can find the course description here: statisticsglobe.com/online-course-pca-theory-appli…
If you're worried your R programming skills aren’t yet strong enough, take a look at my course on Introduction to R Programming for Absolute Beginners. In this course, I explain the absolute basics of R and how to apply them in practice. It’s a great starting point before moving on to the other courses: statisticsglobe.com/online-course-r-introduction
By the way, if you haven’t subscribed to my YouTube channel yet, make sure to do so. You'll find over 1,200 free videos on R programming, Python, statistics, and data science: youtube.com/@StatisticsGlobe
I hope you enjoy the free videos, and I’d be happy to welcome you to one or more of my comprehensive courses.
Talk to you soon.
Joachim
#datascience #statistics #rstats #datamanipulation #datavisualization #dataanalysis #pca
1 month ago | [YT] | 21