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    Introduction to Earth Data Science Textbook
    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...
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    Earth Analytics in R Course
    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...
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    Earth Analytics Bootcamp Course
    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...
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    Writing Clean Code in R Workshop
    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.
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    Introduction to Version Control and Git Workshop
    Learn how to use version control with Git to work collaboratively and back up your work.
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    REMNet Tutorial, R Part 5: Normalizing Microbiome Data in R 5.2.19
    Video on normalizing microbiome data from the Research Experiences in Microbiomes Network
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    Introduction to Python for Data Science Course
    Free Introduction to Python for Data Science Course at DataCamp
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    Introduction to R Course
    Free Introduction to R Course at DataCamp
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    Working with spreadsheet-style data in Python with pandas and seaborn
    This 4-hour participatory live-coding workshop takes learners through the basics of programming in Python via the Jupyter Lab interface and culminates with exploration and visualization of...
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    Earth Analytics in Python Course
    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...
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    Get Started With GIS in Open Source Python Workshop
    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...
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    Exploring the population dynamics of wintering bald eagles through long-term data using R
    The purpose of this modification was to take the analyses that were done in Excel and have the students perform them using R. Students were not given any R code for this activity, as R code was...
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    Case Study — World records as measures of senescence or randomness
    This is a project meant to accompany the Case Study that Carl Bergstrom, which uses R to explore whether declining track and field world record performance could be an artifact of sample size (less...
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    Climate Change’s Impact on Sea Level Rise in a Coastal Marsh Over 20 Years
    In this lesson, students will learn about increasing sea level rise and the direct impacts coastal marshes are facing as a result. Students will learn the importance of coastal marshes, tidal...
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    Biogeography of plant-associated fungi: who lives where and why?
    This dataset of fungal communities associated with the leaves an endemic Hawaiian tree provides students opportunities to explore relationships between environmental variables and microbial...
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