R and the Tidyverse for working with data
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Updated
Jun 4, 2024 - R
R and the Tidyverse for working with data
A course on tools and practices for open, sustainable and FAIR (Findable, Accessible, Interoperable and Reusable) research software
Introduction to the Bioconductor project
GPU Programming with Python and CUDA.
Bioconductor data science introduction
Creating HPC Workflows using Snakemake
Managing Open and Reproducible Computational Projects
Introduction to Modern Fortran
Analysis and Interpretation of Bulk RNA-Seq Data using Bioconductor
Geospatial Data Carpentry with R for Urbanists
RNA-Seq: Data Readiness for Machine Learning Applications
Business Analytics in R
Data Analysis and Visualization in R for Archaologists, modified from the Data Carpentry R Workshop for Ecologists. Course site at https://carpentries-incubator.github.io/R-archaeology-lesson/
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