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Liz M Albertorio
Earth Analytics in Python Course
01 Nov 2019 | Teaching Materials | Contributor(s):
By Leah Wasser1, Jenny Palomino1, Chris Holdgraf2
1. Earth Lab - University of Colorado, Boulder 2. University of California, Berkeley
Earth analytics is an intermediate, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...
Get Started With GIS in Open Source Python Workshop
15 Oct 2019 | Teaching Materials | Contributor(s):
By Leah Wasser1, Jenny Palomino1, Joe McGlinchy1
Earth Lab - University of Colorado, Boulder
There are a suite of powerful open source python libraries that can be used to work with spatial data. Learn how to use geopandas, rasterio and matplotlib to plot and manipulate spatial data in...
Introduction to Version Control and Git Workshop
By Leah Wasser, Max Joseph
Learn how to use version control with Git to work collaboratively and back up your work.
Writing Clean Code in R Workshop
By Max Joseph1, Leah Wasser
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.
Introduction to Earth Data Science Textbook
By Jenny Palomino, Leah Wasser
Introduction to Earth Data Science is an online textbook for anyone new to open reproducible science and the Python programming language. There are no prerequisites for this material, and no prior...
Earth Analytics in R Course
By Leah Wasser
Earth analytics is an advanced, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...
Earth Analytics Bootcamp Course
By Jenny Palomino1, Leah Wasser
The Earth Analytics Bootcamp is a three-week introductory-level course taught by instructors in Earth Lab and is a part of the Professional Certificate in Earth Data Analytics - Foundations at CU...
Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching
04 Jan 2019 | Teaching Materials | Contributor(s):
By Mark Phillip Peterson1, Jacob T Malloy2, Vincent P Buonaccorsi2, James H Marden3
1. Viterbo University 2. Juniata College 3. Pennsylvania State University
This lesson plan was created to teach RNAseq analysis as a part of GCAT-SEEK network. It is provided here, both in finished form and with the modifiable source code, to allow flexible adaptation to...