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Software Carpentry offers workshops for fundamental coding and data skills needed to conduct research.
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.
Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills.
Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills.
Have you ever returned to an analysis in R and can’t remember which scripts you need to run and in what order to make things work? Do you want to speed up your analyses with parallelization? Do you want to ensure other people can run your code? The {targets} R package can help!
The moment is here: you know your topic in and out, have read all the literature and are just one click away from finishing your essay! Maybe you’re lucky and have never seen the Bluescreen of Death, experienced file corruption, stared at the blank screen in rising panic because your brain was empty or written an essay that broke Microsoft Word. In which case, congratulations!
Then again, maybe you are still one of those people who just scribble down ideas and potentially useful literature references on whatever piece of paper is closest. Maybe you’ve spent hours trying to hunt down “Smith 2001, p 24” only to delete that really relevant quote from your essay because you don’t fancy being accused of plagiarising. Maybe Word keeps on messing with the images in your file or decided that your file is too big and corrupted too. In any of these cases, welcome to the club – this course is for you.
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.
Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills.
Software Carpentry offers workshops for fundamental coding and data skills needed to conduct research.
In this workshop we will make use of, and expand our collective knowledge of the Unix shell by sharing commands, shortcuts, etc. amongst the participants.
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.
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.
Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills.
Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills.
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!
Software Carpentry's mission is to help scientists and engineers get more research done in less time and with less pain by teaching them basic lab skills for scientific computing.
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 research team members to learn Python? If yes to any of this, then this workshop is for you and/or your team!
Do you work with datasets regularly 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? Then this workshop is for you and/or your team!
Do you want, or need, to learn how to work with databases for your research, but have little or no previous knowledge? Do you want to refresh your basic skills in SQLite? Or, do you want your team members to learn how to use and create databases? If yes, 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, 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!