Introduction to Clean Coding and the tidyverse in R
When working with data, you often spend the most amount of time cleaning your data. Learn how to write more efficient code using the tidyverse in R.
Last updated: 02 Feb 2018
Earth Data Science Courses & Workshops
Learn how you can integrate earth science understanding and data science skills to better understand Earth by working through free, self-paced courses online. In the Earth Analytics course, explore how the R programming language and R Markdown is used to work with time series, GIS, remote sensing and social media data. No previous programming experience is required! Stay tuned for a second course build in Python using all open source tools!
All Earth Data Science courses, are developed and taught as a part of the professional Certificate and Masters program in Earth Data Analytics offered by Earth Lab at the University of Colorado - Boulder.
Current Courses
Earth Data Science Workshops
Want to improve your earth data science skills? Complete a set of short, self-paced technical lessons. Following the materials available online for each workshop, you will learn how to perform a specific workflow using a specific tool that is commonly used in the earth data science field.
Online workshops are developed for workshops held by Earth Lab at the University of Colorado - Boulder.
Introduction to version control and Git
Learn why version control is useful to science workflows and how to use git and GitHub for version control to back up your work.
Last updated: 21 Sep 2017
Introduction to Open Science Teaching Activity
A hands-on activity where students review a project for readability, organization, etc and identify key elements that would make it more usable and readily reproducible.
Last updated: 01 Jan 2016