Ready to skill up with data science?
Welcome! Arcus is an initiative of the Children’s Hospital of Philadelphia (CHOP) Research Institute that links clinical and research data to accelerate science. Arcus Education provides training and guidance to empower the entire CHOP community.
Other ways to get involved
Want to connect with other data learners?
Join a user group or community of practice: CHOP-R, Python User Group, CHOP Analytics Community
Want to learn what the Arcus Data Education Team can do for your lab/group/trainees?
Read more about the Arcus Data Education team
Want to access DART modules?
DART was research study in 2023 in which biomedical researchers from around the world were given curricula that match their needs and learn data science techniques. DART is no longer recruiting participants, but you can learn more about the program on our website or by filling out our interest form.
Importantly, all of our materials are available publicly for your learning needs, even if you were not enrolled in the full sixteen week study. So if you have one hour, one day, or one month to dedicate to learning, we think there will be something for you in our educational modules.
If you’re not sure where to start with this large catalog of modules, you can check out some sample pathways or try to build your own using our prototype module discovery application
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!