Support

Support Options

  • Knowledge Base

    Find information on common questions and issues.

  • Support Messages

    Check on the status of your correspondences with members of the QUBES team.

Contact Us

About you
About the problem

Tags: data science

Resources (21-40 of 41)

  1. 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/publications/1441/?v=1

  2. Introducing Students to Data Science

    28 Jun 2019 | Teaching Materials | Contributor(s):

    By Tyler Frazier

    College of William and Mary

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

    https://qubeshub.org/publications/1328/?v=1

  3. 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/publications/1440/?v=1

  4. Introduction to Python for Data Science Course

    05 Nov 2018 | Teaching Materials

    Free Introduction to Python for Data Science Course at DataCamp

    https://qubeshub.org/publications/915/?v=1

  5. Introduction to R Course

    05 Nov 2018 | Teaching Materials

    Free Introduction to R Course at DataCamp

    https://qubeshub.org/publications/914/?v=1

  6. 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/publications/1443/?v=1

  7. National Ecological Observatory Network: A Data Source For Your Classroom

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

    By Megan A. Jones

    National Ecological Observatory Network

    Abstract for a poster on NEON resources for use in research and education presented at the 2019 BioQUEST & QUBES Summer Workshop.

    https://qubeshub.org/publications/1327/?v=1

  8. Population Demography in Swirl

    12 Feb 2020 | 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/publications/1214/?v=4

  9. 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/publications/1214/?v=3

  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/publications/1214/?v=2

  11. Population Demography in Swirl

    15 May 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/publications/1214/?v=1

  12. Prioritizing your Data Science Curriculum

    29 Jul 2019 | Teaching Materials | Contributor(s):

    By Lou Gross1, Sondra Marie LoRe2

    1. University of Tennessee Knoxville 2. National Institute for STEM Evaluation & Research (NISER)

    This is the summary powerpoint of the Monday session at the BioQUEST / QUBES 2019 Summer Workshop including the description of the student data project on height change overnight.

    https://qubeshub.org/publications/1359/?v=1

  13. Serenity now! Keep calm and do science with real data in the classroom

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

    By Drew LaMar1, Kristin Jenkins2, Nicole Chodkowski3

    1. College of William and Mary 2. BioQUEST 3. Radford University

    Presentation on a free web application currently under development on QUBES called Serenity at the 5th Life Discovery Conference

    https://qubeshub.org/publications/1111/?v=1

  14. Serenity now! Keep calm and do science with real data in the classroom

    20 Jun 2018 | Teaching Materials | Contributor(s):

    By Drew LaMar1, Sam S Donovan2, Hayley Orndorf2

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

    Session on using real data in the classroom with Serenity, a platform-independent browser-based interface to data science tools for the classroom.

    https://qubeshub.org/publications/666/?v=1

  15. Serenity now! Keep calm and do science with real data in the classroom

    18 May 2018 | Teaching Materials | Contributor(s):

    By Drew LaMar

    College of William and Mary

    Session presented at NABT 2018 in San Diego, CA

    https://qubeshub.org/publications/565/?v=1

  16. Spatial Justice, Marginal Populations, and Data Integrity

    04 Jun 2019 | Teaching Materials | Contributor(s):

    By Melinda Laituri

    Colorado State University

    Spatial justice refers to the consequential geography of a place where spaces are socially produced. Understanding how spatial injustice is created at different spatial scales is an essential part...

    https://qubeshub.org/publications/1280/?v=1

  17. The Network for Integrating Bioinformatics into Life Sciences Education (NIBLSE): Barriers to Integration

    23 Jul 2020 | Teaching Materials | Contributor(s):

    By Anne Rosenwald1, Elizabeth Dinsdale2, William Morgan3, Mark A. Pauley4, William Tapprich5, Eric Triplett6, Jason Williams7

    1. Georgetown University 2. San Diego State University 3. The College of Wooster 4. University of Nebraska at Omaha 5. University of Nebraska-Omaha 6. University of Florida 7. Cold Spring Harbor Laboratory

    The Network for Integrating Bioinformatics into Life Sciences Education (NIBLSE) seeks to promote the use of bioinformatics and data science as a way to teach biology.

    https://qubeshub.org/publications/1978/?v=1

  18. 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/publications/1404/?v=1

  19. Using Synthetic Biology to Teach Data Science

    30 Jul 2019 | Teaching Materials | Contributor(s):

    By Margaret S Saha1, Beteel Abu-Ageel1, Sanjana Challa1, Xiangyi Fang1, Chai Hibbert1, Anna Isler1, Elias Nafziger1, Adam Oliver1, Hanqiu Peng1, Julia Urban1, Vivian Zhu1

    College of William and Mary

    Poster and supplemental materials on using synthetic biology to introduce students to meaningful data mining, analysis, and application to engineering novel biological constructs.

    https://qubeshub.org/publications/1326/?v=2

  20. Using Synthetic Biology to Teach Data Science

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

    By Margaret S Saha1, Beteel Abu-Ageel1, Sanjana Challa1, Xiangyi Fang1, Chai Hibbert1, Anna Isler1, Elias Nafziger1, Adam Oliver1, Hanqiu Peng1, Julia Urban1, Vivian Zhu1

    College of William and Mary

    Abstract for poster on using synthetic biology to introduce students to meaningful data mining, analysis, and application to engineering novel biological constructs.

    https://qubeshub.org/publications/1326/?v=1