Trainings in Environmental Data Science

We train researchers in environmental data science to increase their efficiency and productivity, enabling their science to inform solutions more quickly and effectively.

Our trainings in synthesis and open science tools and methods build capacity among data-oriented researchers in academic institutions, government agencies, and NGOs and from all stages of their careers. We also cover techniques and best practices for collaborative data science.

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For more information, email training [at]

Community-Wide Opportunities

Trainings at NCEAS

Want to improve your data management and reproducible research skills? We host five-day trainings in Santa Barbara that include hands-on practice with environmental data to help you cement your new skills. These trainings are fee based.

In this course, you will learn the following:

  • Data management and documentation
  • Publishing data to open archives
  • Literate and reproducible programming techniques
  • Collaborative version control using git and GitHub
  • An introduction to current and emerging data-science initiatives

Although we focus primarily on R, training is available in other programming languages, including python and Matlab.

Upcoming courses: June 2019 and October 2019.

To learn more, email training [at]

Trainings at Your Institution

We can also lead fee-based trainings on-site at your institution to enable your group to learn shared practices together, encourage maximum participation and group cohesion, and eliminate travel time for you. We teach the same material covered in our NCEAS-based trainings (see above), but can tailor materials to suit particular institutional needs.

For more information, email training [at]

Discipline-Specific Trainings

Open Science for Arctic Research and Data Management

These trainings provide Arctic researchers with critical skills for the stewardship of data, software, and many other research products that are preserved at the Arctic Data Center. The trainings include an overview of best data management practices, data science tools, and concrete steps and methods for documenting and uploading data to the Arctic Data Center more easily. Support for this training series and its participants is provided by the National Science Foundation.

To learn more and apply for upcoming trainings, visit the Arctic Data Center’s training website.

Upcoming Trainings: January 14-18, 2019; February 11-15, 2019; October 7-11, 2019

Past Trainings and Course Materials

View our archive of previous trainings since 2013, and access training materials.

Go to archive