Name: Version Control, {renv}, and Reproducibility
Start: 2023-08-15T18:30:00-07:00
End: 2023-08-15T20:30:00-07:00
Location: PeopleSpace

**Version Control, {renv}, and Reproducibility**

Join us at our upcoming meetup for an enriching session on version control, the [renv package](https://rstudio.github.io/renv/index.html), and the paramount importance of reproducibility in data science. In this meetup, we'll delve into the fundamentals of version control with Git, empowering you to effectively manage code changes and collaborate seamlessly with others. Discover the potential of the renv package as a powerful tool for isolating and replicating R environments, ensuring your projects remain consistent and reproducible.

Emphasizing the significance of reproducibility in research and analysis, we'll explore best practices and methodologies to enhance the credibility and reliability of your R projects. This event will equip you with new skills and insights to elevate your data science workflows. Don't miss out on this opportunity to engage with fellow R enthusiasts and boost your proficiency in essential data science practices. See you there!

**Note: Food and beverages will be catered by SoCal RUG for this event - Please RSVP via Meetup so we can plan accordingly.**

Javier Orraca-Deatcu

Ryan Benz

John Peach

Pablo Barajas

Rebecca B

SoCal R Users Group (SoCal RUG)

R User Groups

R Consortium

UCI Merage School of Business

The Donald Bren’s School of Information

Chapman University's Fowler School of Engineering

Fowler School of Engineering

Technology

Statistical Computing

Big Data

Machine Learning

Data Analytics

Data Visualization

Predictive Analytics

Data Mining

R Project for Statistical Computing

Data Science

Programming in R

Applied Statistics

Business Intelligence

Open Source

Data Management

Sep Dadsetan has combined his expertise in the clinical sciences with his passion for computing to help create software solutions in the healthcare space. He deeply enjoys data exploration and analysis to help make better business decisions, increase efficiency, and to provide greater opportunity to patients.

Sep has expertise in data science and analytics, as well as Real World Data (RWD) and Real World Evidence (RWE). He believes there is significant value in leveraging RWD in many facets of healthcare which will help reduce costs, improve patient access to drugs, devices, and trials, as well as drive deeper collaboration between stakeholders in healthcare.

Sep Dadsetan, Ph.D.