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    Data Visualization
    This is an introduction to the idea of data visualization and the importance of presenting data for understanding.
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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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    Summer 2019 Biobytes
    This series includes the four Biobytes that were piloted at the 2019 BioQUEST / QUBES Summer Workshop titled, “Evolution of Data in the Classroom: From Data to Data Science”.
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    Statistical Exploration of Climate Data
    In this module the students will learn some basic concepts in statistical thinking about data, with emphasis on exploratory data analysis.
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    Morphological and Molecular Analysis of Plant Phylogeny and Diversity
    In this lab, students perform phylogenetic analyses on morphological and molecular data, and compare.
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    Introductory Data Science Pipeline Activity – Yellow Fever and Global Precipitation
    Students follow the steps of a tiny data science project from start to finish. They are given a research question "Are the number of cases of yellow fever associated with global average...
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    Data Management in Excel and R using National Ecological Observatory Network's (NEON) Small Mammal Data
    Students use small mammal data from the National Ecological Observatory Network to understand necessary steps of data management from data collection to data analysis by re-organising excel sheets...
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    3-017-StackedCoffeeFiltersFalling-ModelingScenario
    Data on free falling 2, 4, 6, and 8 stacked coffee filters is offered. Students form a model using a resistance term proportional to velocity, velocity squared, or velocity to some general power....
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    Serenity now! Keep calm and do science with real data in the classroom
    Session on using real data in the classroom with Serenity, a platform-independent browser-based interface to data science tools for the classroom.
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    A Beginner's Guide To Sampling Rockpools
    In this guide, we'll teach you how to sample rockpools, collect data, make visuals from data, and interpret data in order to see if any correlations exist.
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    Backward Design with Digital Data
    Best practices for designing educational modules using biodiversity data
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    DataCamp
    DataCamp: The Easiest Way to Learn Data Science Online
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    Visualizing Global CO2 Emissions
    Using CO2 emissions data, students will learn how to visualize data with Tableau Public. The teaching materials are suitable for upper-level undergraduate courses on data analysis and research...
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    The Power of Place: A Course-Based Undergraduate Research Experience Studying Urban Ecology, Local Apple Trees and Disease Susceptibility
    Course-based Undergraduate Research Experiences (CUREs) offered early in an undergraduate student’s career have the potential to include a greater number and diversity of students than...
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    Speed Data Science
    Data visualization is a foundational data science skill. One way to help students begin to learn about data visualization is to tap in to their innate creative instincts. This activity can be used...
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    The Power of Data Standards
    Investigate data standards within the context of the Alpine Chipmunk and the Grinnell Study.
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    Communicating with Data: Digital Data Resources
    Students access, clean, configure, and standardize a dataset and create a relevant and scientifically valid data visualization to communicate science.
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    UW Data Science for Social Good program
    The UW Data Science for Social Good (DSSG) program partners eScience Data Scientists and Student Fellows from across the country with Project Leads from academia, government, and the private sector...
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    DataONE Module 03: Data Management Planning
    Benefits of a data management plan (DMP), DMP components, tools for creating a DMP, NSF DMP information, and a sample DMP.
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    Data Management using National Ecological Observatory Network's (NEON) Small Mammal Data with Accompanying Lesson on Mark Recapture Analysis
    Students use small mammal data from the National Ecological Observatory Network to understand necessary steps of data management from data collection to data analysis by estimating small mammal...
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