Name: R-Ladies Co-Work Group
Start: 2017-03-05T14:00:00-08:00
End: 2017-03-05T17:00:00-08:00
Location: Erin's Work Space

ABOUT

Whether you are new to R or an expert user, work in academics or industry, this is a laid back ~monthly event to further connect the R-Ladies Bay Area community and hack on R projects together.

We will be meeting at Erin's workspace in Oakland near the MacArthur BART stop. Drinks and a few light snacks will be provided, but feel free to bring something to share!

SCHEDULE

2:00 - 2:15 Brief introductions

2:15 - 2:30 Short Talk: We are thrilled to have Daniela Vazquez (https://d4tagirl.com/) come visit us. Daniela is a data scientist and co-organizer of R-Ladies Buenos Aires. Daniela will be sharing with us her story and the things she is experimenting with while becoming a Data Scientist.

2:40 - 3:20 Short Tutorial: By popular demand, we will also have a short Git in RStudio demo led by Sadie Gill (http://www.sadiegill.com/). Sadie is a data analyst focusing on cartography, data visualizations, and statistics.

3:20 to 5:00 Co-working time: You can use this time to work on a package/project for the community, share R tips, tricks, and learning materials, and meet new people who work with R.

PRE-REQUISITE

No pre-requisite knowledge required, but do come with a GitHub account, RStudio, and Git installed for the demo if you want to participate.

CODE OF CONDUCT

Anyone who violates or has previously violated this community's Code of Conduct will be refused entry, expelled, and/or any other action deemed appropriate by the Organizer, regardless of event registration, meetup membership or other condition.

We are emphatically queer and trans friendly.

This group was created so those who identify as women have a comfortable place to learn. If you would like to attend and feel excluded, please introduce yourself to an organizer.

Gabriela de Queiroz

Ciera Martinez

Erin LeDell

R-Ladies San Francisco

R-Ladies

R-Consortium

Technology

Data Science

Women in Technology

Statistical Computing

Big Data

Machine Learning

Predictive Analytics

Data Mining

Data Visualization

New Technology

Computer Programming

Data Analytics

R Project for Statistical Computing

Applied Statistics

R-Ladies Co-Work Group

Erin's Work Space

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