Statistics Globe Hub Overview
On this page, you will find all past and upcoming modules of the Statistics Globe Hub.
As long as your membership remains active, you have full access to all video lectures and materials released from your month of registration onward. You can follow the modules at your own pace and revisit them whenever needed.
Click on a title below to open the corresponding module page.
All Hub Modules
This section provides an overview of all modules, including current, upcoming, and previous modules.
Current & Upcoming Modules
Below is a list of modules released this month, along with upcoming modules and their scheduled release dates. All members who joined this month or earlier have access to the current modules. New modules are released every Monday, and this page is updated regularly.
- 2026-08-03 – Multi-Language Workflows with Positron
- 2026-08-10 – Advanced Plot Layouts with patchwork in R
- 2026-08-17 – Chat-Based AI Assistance with chattr in R
- 2026-08-24 – Kaplan-Meier Curves for Survival Analysis
- 2026-08-31 – Mastering Custom Functions in R
- 2026-09-07 – Tracking Flows with Alluvial Plots
- 2026-09-14 – Using AI for Efficient Data Manipulation in R
- 2026-09-21 – Why Mean Imputation Is Bad (and What to Do Instead)
- 2026-09-28 – Debugging R Code with AI
- 2026-10-05 – Handling Overplotting with ggblend in R
- 2026-10-12 – Loops and Their Alternatives in R
- 2026-10-19 – Adjusting for Unit Nonresponse in Surveys
- 2026-10-26 – Protecting Sensitive Data When Using AI with FakeDataR
- 2026-11-02 – Data Visualization with Matplotlib, Seaborn, and Plotly in Python
- 2026-11-09 – Beyond p-Values with dabestr in R
- 2026-11-16 – Advanced Raincloud Plots with ggrain in R
- 2026-11-23 – Community Case Study (More Details Coming Soon)
- 2026-11-30 – AI-Assisted Data Visualization in R
- 2026-12-07 – Mixed-Effects Models
Module Archive
All modules released in previous months are listed below, sorted from newest to oldest. You have access to all modules released from your month of registration onward.
- 2026-07-27 – Survey Calibration with icarus in R
- 2026-07-20 – ChatGPT for R Programming
- 2026-07-13 – Propensity Score Matching
- 2026-07-06 – Interactive Data Exploration with PyGWalker in Python
- 2026-06-29 – Chat with LLMs Using ellmer in R
- 2026-06-22 – Ridge, Lasso, and Elastic Net Regression
- 2026-06-15 – Data Joining Techniques with dplyr in R
- 2026-06-08 – Raincloud Plots in R
- 2026-06-01 – Best Practices in R Programming
- 2026-05-25 – Missing Data Mechanisms
- 2026-05-18 – The Grammar of Graphics with ggplot2 in R
- 2026-05-11 – Posit Assistant: AI Coding Integrated in RStudio
- 2026-05-04 – Simpson’s Paradox
- 2026-04-27 – Animated Visualization with magick in R
- 2026-04-20 – AI-Assisted Coding with gander in R
- 2026-04-13 – Monte Carlo Simulation
- 2026-04-06 – Draw Synthetic Datasets with drawdata in Python
- 2026-03-30 – Graphs and Statistics with ggstatsplot in R
- 2026-03-23 – Create Reports with Quarto in R
- 2026-03-16 – Sample Size Calculation Using Power Analysis
- 2026-03-09 – Data Visualization with tidyplots in R
- 2026-03-02 – Feature Selection Using Random Forest
Comments Section and LinkedIn Community
Each module page includes a comments section at the bottom where you can ask questions, share your code, upload images, and discuss the content with other members. This is the best place to get help and exchange ideas related to a specific module.
In addition, you can join our LinkedIn community group to connect with other Hub members, exchange experiences and resources, collaborate on projects, provide feedback and suggest future topics, and stay informed about Hub news and updates.
Click here to visit the LinkedIn group.
10 Comments. Leave new
how do i join the statistics globe hub community
Hey,
Thank you for your comment.
I have just accepted your request to join the Statistics Globe LinkedIn community group. You should now be able to access it directly via this link.
Regards,
Joachim
Only one of the links above is opening (2026-03-02 – Feature Selection Using Random Forest). Kindly help
Hey,
Thanks for your message.
That’s because the other modules have not been released yet. At the moment only the first module, Feature Selection Using Random Forest, is available.
The next module, Data Visualization with tidyplots in R, will be released tomorrow (2026-03-09).
Please let me know if you have any further questions.
Regards,
Joachim
I am not able to access the entire Module Archive. Asking me to join the membership.
Hey,
Thank you for your message and for being a member of the Statistics Globe Hub.
The Hub is set up so that members have access to all modules released from their registration month onward. Modules that were published before your registration month are not included in the membership, which is why you may see a prompt to join when trying to access some archive content.
If you believe there is an issue with accessing modules that should be available to you, please let me know which module(s) you are trying to open, and I will be happy to check.
Best regards,
Joachim
I will join, please send me the link
Hi Assefa,
Thank you for your interest in the Statistics Globe Hub. It’s great to hear that you’re planning to join!
You can find the registration link at the top of this page by clicking on “Enroll Now.”
I’m looking forward to welcoming you to the Hub!
Thanks and regards,
Joachim
Hi, Is this program works for freshers who don’t have any prior knowledge about R program
Hi Saidulu,
Thanks for your interest in the Statistics Globe Hub!
Yes, absolutely. The Hub modules are designed so that everything is explained from scratch, and all the code used in the modules is shared and fully reproducible. This means you can follow along and apply the methods even if you are a beginner in R programming.
That being said, if you would also like to improve your R programming basics, which can definitely be helpful, you might want to take a look at my Introduction to R Programming course in addition to the Statistics Globe Hub.
Please let me know if you have any further questions.
Thanks and regards,
Joachim