What is the next step in your data learning journey?
Arcus is an initiative of the Children’s Hospital of Philadelphia (CHOP) Research Institute which links clinical and research data to accelerate science. Arcus Education provides training, guidance, and resources around all aspects of data. We strive to help you solve problems, learn skills, and find community.
Get started learning data science skills at your own pace. Arcus Education has collected hundreds of webinar recordings, tutorials, articles, and other resources.
Would you like to participate in a data skills workshop from anywhere in the world -- including your kitchen table? Find an upcoming webinar session.
User groups are a unique strength of our research data ecosystem here at CHOP. Join a user group, join the NEW Discourse discussion forum, sign up for the Arcus Education mailing list, and more.
Would you like assistance developing a learning plan for yourself, your team, or your unit? Need individual guidance on how to get started? We provide one-on-one consultations (please note this service is limited by team capacity).
Read a recent featured article
Continue learning data visualization with ggplot2, using statisical transformations, plot labels, position adjustments, and coordinate systems.
Getting started using ggplot2 for data visualization.
Walking through some basics of writing code for the first time.
Learn more about Arcus and Arcus Education!
Arcus offers a platform, privacy and data training, a data catalog and archive, and more. Our goal is to position scientists to be at the forefront of emerging research trends, including the incentivization of shared data and code, increased emphasis on rigor and reproducibility, and changing statistical priorities. We want to remove the barriers that keep you from doing the rapid, innovative, data-driven research that will advance your career and your science.
In Arcus Education, our ambition is nothing short of transforming the conduct of science. We believe in supporting every scientist to develop new skills in collaborative, innovative, reproducible, and computational research - we believe that every scientist is already a data scientist!
Who are we?
Is there a topic you think we got wrong? See a gap in our coverage? Want to provide an article about the thing you’re an expert in? Please email us!!