2021
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Do you want, or need, to learn Python programming for your research, but have no, or little, previous knowledge? Do you want to refresh your basic skills in Python programming? Or, do you want your team members to learn Python? If yes, then this workshop is for you and/or your team!
Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain-specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research.
This workshop introduces you to GitHub, a widely used platform for developing, managing and storing code and documentation. Today, GitHub is home to a growing number of research projects. Researchers and developers collaborate across institutional and national borders and share their code and software for data analysis alongside documentation, notes, and project reports.
Do you work with datasets on a regular basis and want to learn how to work with them in R? Do you want to make nice publication ready plots? Do you know base R already, but want to learn about what this Tidyverse thing is? Or, perhaps you want your team members to learn both R and Tidyverse? Then this workshop is for you and/or your team!
Do you want or need to learn Python programming for your research but have no or little previous knowledge? Do you want to refresh your basic skills in Python programming? Or you want your team members to learn Python? Then this workshop is for you and/or your team!
Conda is an open source package and environment management system. This workshop is for you who wants to learn more about use of Conda as a development tool for building and sharing project specific software environments that facilitate reproducible (data) science workflows.