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Setup |
Download files required for the lesson |
00:00 |
1. Welcome to Software Carpentry
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What is The Carpentries?
What will the workshop cover?
What else do I need to know about the workshop?
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00:15 |
2. R for Plotting
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What are R and R Studio?
How do I read data into R?
What are geometries and aesthetics?
How can I use R to create and save professional data visualizations?
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02:45 |
3. The Unix Shell
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What is a command shell and why would I use one?
How can I move around on my computer?
How can I see what files and directories I have?
How can I specify the location of a file or directory on my computer?
How can I create, copy, and delete files and directories?
How can I edit files?
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04:00 |
4. Intro to Git & GitHub
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What is version control and why should I use it?
How do I get set up to use Git?
How do I share my changes with others on the web?
How can I use version control to collaborate with other people?
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06:00 |
5. R for Data Analysis
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How can I summarize my data in R?
How can R help make my research more reproducible?
How can I combine two datasets from different sources?
How can data tidying facilitate answering analysis questions?
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08:45 |
6. Writing Reports with R Markdown
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How can I make reproducible reports using R Markdown?
How do I format text using Markdown?
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11:00 |
7. Conclusion
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What do I do after the workshop to apply what I learned and keep learning more?
Where can I learn more coding skills?
How do I deal with coding errors (i.e. debug)?
What resources are there at the University of Michigan?
What other coding concepts should I learn?
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11:15 |
Finish |
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The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.