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Tags: data science

All Categories (1-20 of 90)

  1. Population Demography in Swirl

    06 Nov 2019 | Teaching Materials | Contributor(s):

    By Emily Weigel

    Georgia Institute of Technology

    The students will learn to generate, test, and graphically represent basic hypotheses on data distributions using large datasets.

    https://qubeshub.org/qubesresources/publications/1214/?v=3

  2. 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...

    https://qubeshub.org/qubesresources/publications/1437/?v=1

  3. 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...

    https://qubeshub.org/qubesresources/publications/1441/?v=1

  4. Introduction to Version Control and Git Workshop

    15 Oct 2019 | Teaching Materials | Contributor(s):

    By Leah Wasser, Max Joseph

    Learn how to use version control with Git to work collaboratively and back up your work.

    https://qubeshub.org/qubesresources/publications/1443/?v=1

  5. Writing Clean Code in R Workshop

    15 Oct 2019 | Teaching Materials | Contributor(s):

    By Max Joseph1, Leah Wasser

    Earth Lab - University of Colorado, Boulder

    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.

    https://qubeshub.org/qubesresources/publications/1442/?v=1

  6. Introduction to Earth Data Science Textbook

    15 Oct 2019 | Teaching Materials | Contributor(s):

    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...

    https://qubeshub.org/qubesresources/publications/1440/?v=1

  7. Earth Analytics in R Course

    15 Oct 2019 | Teaching Materials | Contributor(s):

    By Leah Wasser

    Earth Lab - University of Colorado, Boulder

    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...

    https://qubeshub.org/qubesresources/publications/1439/?v=1

  8. Earth Analytics Bootcamp Course

    15 Oct 2019 | Teaching Materials | Contributor(s):

    By Jenny Palomino1, Leah Wasser

    Earth Lab - University of Colorado, Boulder

    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...

    https://qubeshub.org/qubesresources/publications/1438/?v=1

  9. Omayra Ortega

    https://qubeshub.org/community/members/13504

  10. Population Demography in Swirl

    26 Sep 2019 | Teaching Materials | Contributor(s):

    By Emily Weigel

    Georgia Institute of Technology

    The students will learn to generate, test, and graphically represent basic hypotheses on data distributions using large datasets.

    https://qubeshub.org/qubesresources/publications/1214/?v=2

  11. Sep 24 2019

    eScience International Conference

    eScience 2019 welcomes the international community of researchers and software engineers from all disciplines to present and discuss their scientific practices involving data science and computing....

    https://qubeshub.org/news/events/details/1713

  12. Sarah Lee

    https://qubeshub.org/community/members/12867

  13. Using Data Science Skills and Digitized Natural History Collections Data to Investigate Ecological and Evolutionary Principles in Introductory Biology Courses

    22 Aug 2019 | Teaching Materials | Contributor(s):

    By Debra Linton1, Molly Phillips2, Libby Ellwood3, Lisa White, Anna Monfils1

    1. Central Michigan University 2. iDigBio, Florida Museum of Natural History, University of Florida 3. iDigBio

    Session presentation Biodiversity Literacy in Undergraduate Education project at the 2019 BioQUEST & QUBES Summer Workshop

    https://qubeshub.org/qubesresources/publications/1404/?v=1

  14. Data Science as a Superpower

    15 Aug 2019 | Teaching Materials | Contributor(s):

    By Amelia McNamara

    Presentation on data science education given at the 2019 BioQUEST & QUBES Summer Workshop

    https://qubeshub.org/qubesresources/publications/1397/?v=1

  15. Biobyte 4 - The role of data science principles and practices in undergraduate biology

    15 Aug 2019 | Teaching Materials | Contributor(s):

    By Sam S Donovan

    University of Pittsburgh

    This short activity was an effort to launch a community conversation around the interface of data science principles and practices and undergraduate biology education. A variety of resources,...

    https://qubeshub.org/qubesresources/publications/1390/?v=1

  16. Summer 2019 Biobytes

    14 Aug 2019 | Teaching Materials | Contributor(s):

    By Sam S Donovan

    University of Pittsburgh

    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”.

    https://qubeshub.org/qubesresources/publications/1391/?v=1

  17. Biobyte 3 - Lab reports as reproducible research

    14 Aug 2019 | Teaching Materials | Contributor(s):

    By Sam S Donovan1, Drew LaMar2

    1. University of Pittsburgh 2. College of William and Mary

    This short activity introduces a discussion of reproducibility in scientific research and ways that we might address these ideas with undergraduates. There is an opportunity to use a prototype...

    https://qubeshub.org/qubesresources/publications/1389/?v=1

  18. Biobyte 2 - Exploratory data analysis

    14 Aug 2019 | Teaching Materials | Contributor(s):

    By Sam S Donovan

    University of Pittsburgh

    This short activity can be used to introduce the concept of exploratory data analysis and get participants to think about how this data science strategy is complementary to having students...

    https://qubeshub.org/qubesresources/publications/1388/?v=1

  19. Alyssa Cochran

    https://qubeshub.org/community/members/12487

  20. Biobyte 1 - Where are we in the data science landscape?

    06 Aug 2019 | Teaching Materials | Contributor(s):

    By Sam S Donovan

    University of Pittsburgh

    This short activity can be used to introduce the NAS Data Science For Undergraduates report's definition of data acumen and engage participants in a self assessment of how they connect with those...

    https://qubeshub.org/qubesresources/publications/1377/?v=1