Creating professional-looking PDFs for articles, reports, lecture notes, and books has traditionally meant learning LaTeX. Today, Typst offers a modern…

How can you make your research more transparent, reproducible, and easier to share? In this R-Ladies Rome workshop, Betsabé Cohen and Jesica Formoso from R-Ladies+ Buenos Aires demonstrate how R and…

Research is most valuable when others can understand it, reproduce it, and build upon it. Yet many research workflows still rely on disconnected files, manual…

In this workshop Dr. Mykhailyshyna walks through a complete text analysis pipeline in R, combining traditional methods with newer AI-powered tools. In the first part, we will cover tokenization with…

Artificial Intelligence often feels like a black box, but many of its core ideas come from simple and elegant statistical concepts. In this session, we will step back from

Speaker: Joseph Barbier | A talk on why starting from design intent improves data visualization, reduces iteration cycles, and makes AI-assisted coding more effective.

In this session, Isabella Velásquez guided participants through the newest features in dplyr 1.2.0, focusing on when to use the new tools and how they improve real-world data workflows.

***"Creating a chart is usually an iterative process. We build a rough first version, then tweak the colors, change the chart type, adjust the title, and refine the styling

**{dplyr} 1.2.0 is out, and wow, is it a delight!** **Join us for a tour** of the new tools in {dplyr} 1.2.0 and when you should use them. We will walk through **WHEN** y

What happens when a risk manager finds himself in the middle of a financial crime? In this talk, [Mark Griffin](https://www.linkedin.com/in/markwgriffin/) introduces [The

What happens when a risk manager finds himself in the middle of a financial crime? In this talk, [Mark Griffin](https://www.linkedin.com/in/markwgriffin/) introduces [The

In this session, Priyanka Schnell presented a physics-informed, data-driven approach to Condition-Based Maintenance using a digital twin model, anomaly detection, and simulated drilling data from…

Learn about using Git and GitHub in RStudio. **Note: Participants are required to install [Git](https://git-scm.com) and sign up for a [GitHub](https://github.com) account

In this workshop, participants were guided through a complete exploratory data analysis workflow in R using a simulated diabetes dataset, focusing on data understanding, cleaning, visualisation, and…

In this session, we will walk through a full end-to-end workflow of health data analysis in R using a simulated database based of diabetes. We will begin with **explorator

We’ll be working through the process of developing a visualisation in ggplot2. Some knowledge of the tidyverse will be helpful, but all of the code in this session will be explained and available…

In this session, we'll be working through the process of developing a visualisation in ggplot2. We'll start with a brand new dataset and create some exploratory plots; sket

🐍✨ This time it’s Python time… inside Stata! Discover how to unlock new possibilities by combining two powerful tools in one workflow. In this talk, Dr. Chuck Huber (Director of Statistical…

🐍✨ **This time it’s Python time… inside Stata!** Discover how to unlock new possibilities by combining two powerful tools in one workflow. **Python** is an increasingly p

🐍✨ **This time it’s Python time… inside Stata!** Discover how to unlock new possibilities by combining two powerful tools in one workflow. **Python** is an increasingly p

In this hands-on workshop, we explore how to build interactive dashboards using Quarto, Shiny, and R Markdown. These tools allow you to create beautiful, dynamic web dashboards for data visualization…

In this easy-going workshop, we will be building interactive website dashboards that allow teams to quickly show each other information such as numerous graphs and tables.

Curious about time series forecasting but not sure where to start? Join us for a beginner-friendly workshop exploring how linear regression can be used for time series for

🎥 Recording of the PyData x R-Ladies x Rome R Users Group Event📍 Filmed live at INGV – Istituto Nazionale di Geofisica e Vulcanologia, RomeJoin us for a sp...

**Join us for a special [PyData](https://www.meetup.com/it-IT/pydata-roma-capitale/) x [R-Ladies](rladiesrome.org) x [Rome R Users Group](https://www.meetup.com/rome-r-user

Whether you write code or prose in R, solid Git practices can supercharge your workflow. This month, we’ll dig into why **small, well-labeled commits** aren’t just a “nice

In this session, we explore how to get started with Python — especially if you’re coming from R or just curious about Python for data analysis.👩‍💻 What you...

Are you curious about Python and not sure where to start? Join R-Ladies Rome for a welcoming, hands-on introduction to Python programming. This event is perfect for beginne

Insightful talk exploring how artificial intelligence and modern statistical techniques are revolutionizing actuarial work.

🔮 How is AI reshaping actuarial science? How can R help model risk in this evolving landscape? Join [R-Ladies Rome](https://rladiesrome.org/) for an insightful talk explo

🔮 How is AI reshaping actuarial science? How can R help model risk in this evolving landscape? Join [R-Ladies Rome](https://rladiesrome.org/) for an insightful talk explo

In this session, Isabella Velásquez walks us through Quarto Live and Shinylive, powerful tools that allow us to create interactive R, Python, and Shiny appli...

Discover new ways to share R, Python, and Shiny projects using Quarto Live and Shinylive, no server required! These tools bring R, Python, and Shiny applications to life d

Discover new ways to share R, Python, and Shiny projects using Quarto Live and Shinylive, no server required! These tools bring R, Python, and Shiny applications to life d

Eli Holder discusses the unintended consequences of public health data visualization and presents actionable strategies for creating equitable, impactful visualizations.

***"...and, what can we do instead."*** Can risk ratios be risky? Can visualizing health disparities make them worse? Can our design choices influence these unhealthy back