Basic R — Start learning R in RStudio.

Basic git — Learn to use git with GitHub in RStudio.

Basic Python — Start learning Python with Pandas and Scikit-learn.

Tidy Data in R — Get your data in shape with tidyr & dplyr.

Maps with R — Tour R packages that make static and interactive maps.

Plots in R — Craft publication-quality graphics with ggplot2.

Model Formulas — Write formulas for regression in R and Stan.

Text Mine — Carve your texts into structured data.

Data APIs in R — Acquire data from websites and APIs using R

Data APIs in Python — Acquire data from websites and APIs using Python.

RMarkdown — Extend your data pipeline with RMarkdown and Shiny.

Leaflet Maps — Make interactive maps in R using the leaflet package.

Shiny Apps — Get interactive with the Shiny R package.

OSGeo — Meet the open source stack underlying geospatial data.

Spatial R Packages — Manipulate geospatial data with open source tools.

Relational Databases — Make your data safe, scalable and relational.

Advanced Tidyverse — Use piped workflows for efficient data cleaning and visualization.

Advanced git — Learn advanced git techniques with GitHub and RStudio

NetLogo Scripting — Implement open agent-based models.

Spatial NetLogo — Use spatial data in NetLogo ABMs.