Lesson materials for OSS 2017 data science curriculum
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00-instructor-guidelines
course-overview
creating-r-functions
creating-r-packages
data-liberation
data-munging-qa-qc-cleaning
data-repositories
data-wrangling
dataviz-and-interactive-tools
ecological-metadata
meeting-facilitation
message-box
meta-analysis
metagenomics
open-data-in-r
parallel-computing-in-r
publication-ready-maps-in-r
publishing-data
publishing-maps-to-the-web-in-r
qgis
r-review-and-assessment
regular-expressions
reproducible-papers-with-rmd
rmarkdown-rstudio
servers-networks-command-line
spatial-data-gis-law
sql-database-access-in-r
sql-database
testing-in-r
thinking-preferences
version-control
why-python
.gitignore
README.md
list-used-packages.sh
oss-lessons.Rproj

README.md

OSS 2017 - Lessons

This repository contains the curriculum developed for the Open Science for Synthesis: Gulf Research Program Workshop. This course focuses on techniques for data management, scientific programming, synthetic analysis, and collaboration techniques.

Current schedule

https://nceas.github.io/oss-2017/lessons.html

Other ressources

Acknowledgements

OSS2017 was funded under a grant from the Gulf Research Program, National Academy of Sciences

License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.