Join the online Office Hour to

\- discuss how to get started contributing to R
\- get help/feedback on contributions you are working on
\- look at open bugs/work on translations together

R Contributors

Heather Turner

Ella Kaye

R Contributor Office Hour (EMEA/APAC)

Online event

R Contributor Office Hour (AMER)

***\-\-\-\-\-\- Welcome\, Manchester R Users\! \-\-\-\-\-\-***
Welcome!

As before, the event will be brought to you by **Datacove**. We are a Data and Analytics Consultancy Team based in Brighton, working across Customer Analytics, Shiny and Reporting, Marketing Analytics and Process Automation.

We will be supported by the generous team at **Better Placed**, at Colony, Ayton Street, Manchester. Hosted by **Abbie Brookes** and **Jeremy Horne** from **Datacove**.

***\-\-\-\-\-\- Talks \-\-\-\-\-\-***

Njoki Njuki, Data Analyst at University of Oxford, will be bringing us a talk on "R for Play: When Data Meets Creativity". We often think of R as a serious tool for data wrangling and analysis, but it can also be a playground for creativity. In this talk, I’ll share some of my own pet projects where R has sneaked into everyday life: from using tidytuesday to learn new tricks, to generating a personalised menu while moving to a new city, to designing pride flags for my home, even to building quick utilities I can run on my phone.

More information on talks coming soon. Please contact admin@datacove.co.uk if you'd like to speak.

***\-\-\-\-\-\- General Information \-\-\-\-\-\-***
Now, refreshments! Drinks and pizza will be served from 6pm. Talks will commence at 6:30pm/6:45pm and the event will conclude at 8:30pm.

The conversation will continue after the event at a local pub TBC – obviously!

If you didn't already have a million reasons to come, there will be (free!) R Merchandise kindly sent by Posit themselves.

Please feel free to register guests and spread the word. We look forward to seeing you all again!

Manchester R User Group

Abbie Brookes

Sophie Desouza

Jeremy Horne

Anjali 

Beth

Jason Kennedy

Waheed M Akram

Izzy

Gabe

Romeo S

Abdur-Rahman

Hannah Guest

Taimur

Anisha Swamy

Njoki Njuki Lucy

dylan3002smith

Chels

Paul Newnes

Nnabugwu Kelvin Chukwuebuka

 Murtaza

Manchester R Meetup! Nov 2025.

Colony Piccadilly

R confeRence 2025

Registration is now open for all data enthusiasts, researchers, and developers who are passionate about R programming.

Organized by the Malaysian R User Group (MyRUG) x TARUMT Computer Science Society
📅 15 November (Saturday) -16 November (Sunday) 2025
⏲️ 9:00am - 5:00pm
🗺️ @TAR UMT Arena

About The R Conference Malaysia

The R Conference Malaysia is the largest annual gathering of R users in the country, bringing together data scientists, analysts, researchers, and educators from both academia and industry. It is organized by the Malaysian R User Group and supported by the R Consortium, this two-day event showcases the growing impact of the R programming language in Malaysia’s data-driven landscape. The R confeRence serves as a dynamic platform for learning, networking, and collaboration.

Scan the QR code to secure your spot at this R confeRence Malaysia 2025! Or
Click the link below!
[https://lnkd.in/guEsBt9w](https://lnkd.in/guEsBt9w)

[https://lnkd.in/ge7d83V7](https://lnkd.in/ge7d83V7)

Malaysia R User Public Group

KN Loo

Md Zunaid Hassan

Ardie

R conference 2025

We are looking forward to the Karachi R User Meetup, sponsored by [Stat Devs](http://www.statdevs.com/) and[ R Consortium](https://www.r-consortium.org/)

**Agenda for the Talk:**
Join the Karachi R User Group for an engaging session on **“Building Predictive Models using R”** presented by **Dr. Zarmeen Nasim** (Assistant Professor, Aga Khan University).

This talk will guide you through the end-to-end process of predictive modelling — starting with data preparation, handling missing values, and feature engineering, all the way to building, evaluating, and interpreting machine learning models in R.

You will get hands-on exposure to popular modelling packages such as **tidymodels** and **caret**, while understanding how predictive modelling differs from descriptive and inferential techniques. Real-world examples will be shared from Dr. Zarmeen’s work in health data science, natural language processing, and social network analysis.

Whether you’re a student, data practitioner, or a researcher aiming to apply machine learning to real-world problems, this session will equip you with practical skills and best practices for developing robust predictive models in R.

Karachi R User Group

Uzair Aslam

Nadia Farooq

Archna Maharjan

Fazila

atiyaajmal29

TARAK PATEL

Building Predictive Models using R

R User Groups

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