Statistics Globe
Hi, I’m Joachim Schork, the guy behind Statistics Globe.
During the last decade, I've spent a lot of time to increase my statistical knowledge, including a master’s degree in statistics & a job as microdata expert at a national statistical institute in Europe.
About ten years ago, I discovered the power of the statistical programming language R. Since then I've turned into a big enthusiast, using the software almost every day for work & many private programming projects. More recently, I started learning Python & I love to compare the pros & cons of the two programming languages.
Some time ago, I started the platform statisticsglobe.com/, on which I'm sharing my statistical know-how & improve my own statistical skills by discussing with other statisticians & programmers.
Since the exchange with other data scientists on my homepage is a lot of fun for me, I've decided to additionally create this YouTube channel, hoping that YouTube brings as much fun as my homepage.
Statistics Globe
Final reminder: All Statistics Globe online courses close tonight, and the 33% discount will also expire.
You can find all courses here: statisticsglobe.com/courses
#rstats #statistics #datascience #dataviz #dataanalysis
1 week ago | [YT] | 10
View 0 replies
Statistics Globe
Today is the final day to register for my courses before a 3-month break with no new enrollments, and your last chance to get a 33% discount.
If you're interested in joining, make sure to sign up before the end of the day. Each course includes lifetime access, so you can learn at your own pace while taking advantage of the discount.
Here are the courses you can join:
- Introduction to R Programming for Absolute Beginners: statisticsglobe.com/online-course-r-introduction
- Data Manipulation in R Using dplyr & the tidyverse: statisticsglobe.com/online-course-data-manipulatio…
- Data Visualization in R Using ggplot2 & Friends: statisticsglobe.com/online-course-data-visualizati…
- Statistical Methods in R: statisticsglobe.com/online-course-statistical-meth…
- Principal Component Analysis (PCA) – From Theory to Application in R: statisticsglobe.com/online-course-pca-theory-appli…
Talk to you soon.
Joachim
#rstats #statistics #datascience #dataviz #statisticalanalysis
1 week ago | [YT] | 13
View 0 replies
Statistics Globe
I’m currently running a final promotion with a 33% discount on all my courses before registration closes on April 22 for several months.
To give you a sneak peek into the courses, I’ve just published a free video on YouTube that walks through a complete data project in R.
In the video, we’ll briefly cover the core topics included in my courses. We’ll import, manipulate, visualize, statistically analyze, and enhance our results using Principal Component Analysis (PCA).
Watch the video here: https://www.youtube.com/watch?v=l2OgR...
Courses are open now and include lifetime access. Learn at your own pace and take advantage of the current discount.
Take a look at the courses you can join:
- Introduction to R Programming for Absolute Beginners: statisticsglobe.com/online-course-r-introduction
- Data Manipulation in R Using dplyr & the tidyverse: statisticsglobe.com/online-course-data-manipulatio…
- Data Visualization in R Using ggplot2 & Friends: statisticsglobe.com/online-course-data-visualizati…
- Statistical Methods in R: statisticsglobe.com/online-course-statistical-meth…
- Principal Component Analysis (PCA) – From Theory to Application in R: statisticsglobe.com/online-course-pca-theory-appli…
Talk to you soon.
Joachim
#rstats #statistics #datascience #dataviz #statisticalanalysis #pca
2 weeks ago | [YT] | 30
View 2 replies
Statistics Globe
I have an important announcement:
- Registration for all my online courses will close on Tuesday, April 22.
- Until then, all courses are available at a 33% discount.
The reason is a happy one: I became a father some time ago and will now be taking about three months of parental leave. During this time, I don't want to focus on work and won’t be able to respond to course enrollments or questions. That’s why I’ve decided to temporarily close all course offerings.
If you’d like to join any of the courses, now is the ideal time. They’re completely self-paced, and you’ll receive lifetime access, so you can go through the material whenever it works best for you.
Here are the available courses:
- Introduction to R Programming for Absolute Beginners: statisticsglobe.com/online-course-r-introduction
- Data Manipulation in R Using dplyr & the tidyverse: statisticsglobe.com/online-course-data-manipulatio…
- Data Visualization in R Using ggplot2 & Friends: statisticsglobe.com/online-course-data-visualizati…
- Statistical Methods in R: statisticsglobe.com/online-course-statistical-meth…
- Principal Component Analysis (PCA) – From Theory to Application in R: statisticsglobe.com/online-course-pca-theory-appli…
By the way, I’ve pre-scheduled many tutorials and posts across my social media channels, so you’ll still see updates from me in the coming months. Make sure to follow me on social media so you don’t miss anything.
Thanks so much, and talk to you soon!
Joachim
#rstats #statistics #datascience
2 weeks ago | [YT] | 14
View 0 replies
Statistics Globe
Final reminder: the Statistics Globe online workshop, "Missing Data Imputation in R," starts in just 24 hours!
It would be great if you also took part in the workshop. So if you are interested, please register now: statisticsglobe.com/online-workshop-missing-data-i…
Looking forward to seeing you there!
Joachim
#rstats #statistics #datascience #missingdata #imputation
2 months ago | [YT] | 21
View 0 replies
Statistics Globe
Only 3 days left until the start of the Statistics Globe online workshop, Missing Data Imputation in R.
Kicking off on February 20, this workshop includes eight weekly live sessions, beginning with the basics of handling missing data and advancing to sophisticated imputation techniques in R.
The visualization below offers a preview of the topics we’ll cover. Whether you're new to handling missing data in R or seeking new strategies to improve data quality, this workshop will introduce techniques you may not have encountered before.
The workshop is limited to 15 participants, so enroll now to secure your spot.
Learn more and sign up here: statisticsglobe.com/online-workshop-missing-data-i…
Looking forward to seeing you in the workshop!
Joachim
#rstats #statistics #datascience #missingdata #imputation
2 months ago | [YT] | 32
View 0 replies
Statistics Globe
New video! ▶️
Handling missing data is a critical aspect of data analysis, and two common approaches are often applied: listwise deletion and imputation. The method you choose can significantly impact the quality and reliability of your results, making it crucial to select wisely.
❌ Listwise deletion is a simple method but comes with notable disadvantages. By removing all rows with missing values, it reduces the size of your data set, often leading to distorted results. This approach risks bias, loss of statistical power, and skewed insights, especially when data is not missing completely at random (MCAR). Furthermore, it assumes that eliminating incomplete rows does not introduce additional bias, an assumption that rarely holds in real-world scenarios.
✔️ Imputation offers a more effective alternative by filling in missing values while preserving as much data as possible. This approach retains the structure of the data and leads to more reliable outcomes, avoiding the loss of valuable information caused by listwise deletion.
The visualization below highlights the differences between these methods. The left plot demonstrates how listwise deletion disrupts the true data distribution, particularly when missingness follows a Missing at Random (MAR) mechanism, resulting in bias and inconsistencies. The right plot shows how imputation closely aligns with the true values, maintaining the structure and integrity of the data.
To illustrate this concept further, I’ve created a video that demonstrates the differences between listwise deletion and missing data imputation using the R programming language.
You can watch the video here: https://www.youtube.com/watch?v=v9rzH...
Interested in exploring this topic deeper? Join my 8-week workshop on Missing Data Imputation in R, starting February 20. With a limit of 15 participants, this workshop ensures a highly interactive and engaging experience.
More info about the workshop: statisticsglobe.com/online-workshop-missing-data-i…
Talk to you soon.
Joachim
#statistics #datascience #rstats #mice #missingdata
2 months ago | [YT] | 8
View 2 replies
Statistics Globe
Just a friendly reminder that the Early Bird promotion for the Missing Data Imputation in R workshop ends today!
Enroll by the end of the day, and you'll get free access to another course of your choice. Check out the full list here: statisticsglobe.com/courses
Learn more about the Missing Data workshop: statisticsglobe.com/online-workshop-missing-data-i…
Looking forward to getting started!
Talk to you soon.
Joachim
#missingdata #statistics #datascience #rstats
2 months ago | [YT] | 14
View 0 replies
Statistics Globe
There are two great reasons to enroll right now for the upcoming online workshop on Missing Data Imputation in R!
1) Limited-time offer: Enroll in the Missing Data workshop by January 29 and get one of my other courses for free! Check out the available courses here: statisticsglobe.com/courses
2) Participant requirement: The workshop requires a minimum of 10 registrations by January 29 to proceed, and a few spots are still available. If the minimum is not met, the workshop will unfortunately be canceled, and all registrations will be fully refunded. To ensure the workshop takes place and to support its success, make sure to secure your spot by enrolling today!
Find more details about the Missing Data workshop here: statisticsglobe.com/online-workshop-missing-data-i…
Looking forward to seeing you at the workshop!
Joachim
#rstats #statistics #datascience #missingdata #imputation
2 months ago | [YT] | 24
View 0 replies
Statistics Globe
Some of you have asked if any preliminary skills are needed to join my upcoming workshop on Missing Data Imputation in R.
While the workshop is designed to be accessible even for those with no prior experience in R or statistics, having a solid foundation can make the experience smoother and more rewarding.
To help participants prepare, I’m offering one of my other courses for free to anyone who registers for the Missing Data Workshop by Wednesday, January 29. This will allow you to strengthen your knowledge in a topic of your choice and feel more confident during the workshop. It’s also my way of thanking those who register early.
Here’s a list of the available courses:
- Introduction to R Programming for Absolute Beginners: statisticsglobe.com/online-course-r-introduction
- Data Manipulation in R Using dplyr & the tidyverse: statisticsglobe.com/online-course-data-manipulatio…
- Data Visualization in R Using ggplot2 & Friends: statisticsglobe.com/online-course-data-visualizati…
- Statistical Methods in R: statisticsglobe.com/online-course-statistical-meth…
- Principal Component Analysis (PCA): From Theory to Application in R: statisticsglobe.com/online-course-pca-theory-appli…
And here’s the link to the workshop on Missing Data Imputation in R: statisticsglobe.com/online-workshop-missing-data-i…
Register for the workshop by January 29 to get free access to one course of your choice from the list above.
I’m looking forward to seeing you in the workshop!
Talk to you soon.
Joachim
#missingdata #imputation #statistics #datascience #rstats
2 months ago | [YT] | 23
View 0 replies
Load more