Data are the foundations of the social and biological sciences. Familiarizing yourself with a programming language can help you better understand the roles that data play in your field.
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December 18, 2019
Raster data are used to represent geographic phenomena that are present and can be measured anywhere in a study area, like elevation, temperature, rainfall, land cover, soil type, etc.
Training: Geospatial Data in R: Part 2
December 17, 2019
Geospatial data are an important component of social science and humanities data visualization and analysis.
Training: Geospatial Data in R: Part 1
December 16, 2019
Geospatial data are an important component of social science and humanities data visualization and analysis.
Training: Stata Fundamentals: Part 3
December 12, 2019
This three-part series will cover the following materials:
Part 1: Introduction
Training: Stata Fundamentals: Part 2
December 11, 2019
This three-part series will cover the following materials:
Part 1: Introduction
Training: Stata Fundamentals: Part 1
December 10, 2019
This three-part series will cover the following materials:
Part 1: Introduction
Training: D-Lab Fellows Talk
November 22, 2019
Prevention of mother-to-child transmission of HIV (PMTCT) programs are based on strengthening the PMTCT cascade, a series of integrated health care services and behaviors that begins with all preg
December 9, 2019
This is a six-hour tutorial on machine learning in R that covers data preprocessing, cross-validation, ordinary least squares regression, lasso, decision trees, random forest, xgboost, a
December 2, 2019
This is a six-hour tutorial on machine learning in R that covers data preprocessing, cross-validation, ordinary least squares regression, lasso, decision trees, random forest, xgboost, a
