reproducible research tutorials

Basic R — Start learning R in RStudio.
Basic git — Learn to use git with GitHub.
Basic Python — Start learning Python with Pandas and Scikit-learn.
Maps with R — Tour R packages that make static and interactive maps.
tidyr & dplyr — Get your data in shape with tidyr & dplyr.
RMarkdown — Extend your data pipeline with RMarkdown and Shiny.
Leaflet Maps — Make interactive maps in R using the leaflet package.
Basic SQL — Speak to a database in its native language.
Data APIs — Acquire data from websites and APIs.
Model Formulas — Write formulas for regression in R and Stan.
Plots in R — Craft publication-quality graphics with ggplot2.
Spatial NetLogo — Use spatial data in NetLogo ABMs.
Spatial R Packages — Manipulate geospatial data with open source tools.
Shiny Apps — Get interactive with the Shiny R package.
Text Mine — Carve your texts into structured data.
OSGeo — Meet the open source stack underlying geospatial data.
NetLogo Scripting — Implement open agent-based models.
Relational Databases — Make your data safe, scalable and relational.

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