As my students know, teaching is one of my passions and I truly enjoy it. I’ve had the opportunity to teach workshops and short courses around the world. The following are Open Educational Resources I have developed for classroom teaching and workshops.
CUNY Graduate School of Public Health and Health Policy
Introductory Biostatistics
- PUBH614: Quantitative and Qualitative Data Analysis Methods in Public Health Research
I re-implemented labs using webR and Google Colab, and added Codebooks.
Homepage: https://cuny-epibios.github.io/PUBH614/
Applied Biostatistics II
- BIOS 621/821: Applied Biostatistics II
Lecture and lab materials and recordings.
Homepage: https://bios2.waldronlab.io
University of Trento (Italy)
Applied Statistics for High-Throughput Biology
I developed this course for my Fulbright scholarship to Italy in 2016, and have updated and offered it nearly annually, at the University of Trento and University of Verona. The course syllabus and lecture materials are available at www.github.com/waldronlab/AppStatBio.
Bioconductor workshops
CNVWorkshop
Workshop for CNV analysis with Bioconductor.
Homepage: https://waldronlab.io/CNVWorkshopPublicDataResources
Workshop on public data resources and Bioconductor packages for accessing large-scale data (GEO, SRA, GDC, etc.).
Homepage: https://waldronlab.io/PublicDataResources/AnVILWorkshop
AnVIL/Terra workshop for Bioconductor conference.
Homepage: http://waldronlab.io/AnVILWorkshopMultiAssayWorkshop
Multi-omic integration and analysis of cBioPortal and TCGA data with MultiAssayExperiment.
Homepage: https://waldronlab.io/MultiAssayWorkshop/curatedTCGAWorkshop
Workshop material for the BiocNYC R/Bioconductor (archived).MicrobiomeWorkshop
A workshop on microbiome analysis using Bioconductor (archived).MultiAssayExperimentWorkshop
Workshop on multi-omics data representation and analysis with MultiAssayExperiment (archived).
R and Data Science Resources
Here is a list of recommended textbooks for learning R and getting into Data Science.