Data Science Workshops

‍The Childhood Cancer Data Lab offers workshops to teach researchers the data science skills they need to examine their own data.

Participants are introduced to the R programming language and to cutting-edge technologies used in single-cell and bulk RNA-sequencing data analysis. Participants learn through lectures and with hands-on exercises materials.

Attendees have the opportunity to work on their own projects with Data Lab staff available for consultation and to present the projects they have worked on to other participants.

Workshop Objectives

R programming language, R Notebooks, and some reproducible research practices.
Processing bulk and single-cell RNA-seq data from raw all the way to downstream analyses.
Downstream analyses methods like differential expression analyses, hierarchical clustering, and preparing publication-ready plots.

Explore Workshop Materials

“Before these workshops, I spent a lot of time trying to find good online resources to learn these techniques and this experience was by far the best. My undergraduate students agree.”

- Tovah Day, Assistant Professor of Biology, Northeastern University

“I think anyone who is working on or near single-cell data should take this course. I am so much more confident in what I understand about single-cell analyses compared to where I was at the beginning. 10/10 recommend.”

- Jessica Elswood, Postdoctoral Associate, Baylor College of Medicine

“The training was really well crafted. Instructors provided a fundamental scaffold for future R-based analyses that we can now run without necessarily needing a consolidated background as a bioinformatician.”

- Rodrigo Cartaxo, Postdoctoral Associate, University of Michigan

If you have questions about attending a Data Lab workshop or are interested in using our materials to host a workshop, please contact us at training@ccdatalab.org.