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.

• 2026-05-04 – Simpson’s Paradox
• 2026-05-11 – Posit Assistant: AI Coding Integrated in RStudio
• 2026-05-18 – The Grammar of Graphics with ggplot2 in R
• 2026-05-25 – Missing Data Mechanisms
• 2026-06-01 – Best Practices in R Programming
• 2026-06-08 – Raincloud Plots in R
• 2026-06-15 – Data Joining Techniques with dplyr in R
• 2026-06-22 – Ridge, Lasso, and Elastic Net Regression
• 2026-06-29 – Chat with LLMs Using ellmer in R
• 2026-07-06 – Interactive Data Exploration with PyGWalker in Python
• 2026-07-13 – Propensity Score Matching

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.

• 2026-04-27 – 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.