You are here: Home / Resources / All

Resources: All

Submit a resource

Find a resource
  1. abstract x
  2. morethan1hour x
  3. statistics x
  4. genetics x
  5. datascience x

  1. Swirl

    0.0 out of 5 stars 

    10 Jul 2020 | Software (On-site)

    Swirl: Learn R, in R

  2. Radiant Lite

    0.0 out of 5 stars 

    24 Jul 2019 | Software (On-site) | Contributor(s): Drew LaMar

    Stripped down version of Radiant on QUBES

  3. Radiant Lite

    0.0 out of 5 stars 

    24 Jul 2019 | Software (On-site) | Contributor(s): Drew LaMar

    Stripped down version of Radiant on QUBES

  4. Radiant

    0.0 out of 5 stars 

    16 Sep 2015 | Software (On-site)

    Business analytics using R and Shiny.

  5. IMMERSION Video

    0.0 out of 5 stars 

    25 Jul 2017 | Teaching & Reference Material | Contributor(s): Alondra Torres-Navarro

  6. Integrating Natural History Collections into Undergraduate Education: Creating the Resources and Growing the Community

    0.0 out of 5 stars 

    14 Nov 2016 | Teaching & Reference Material | Contributor(s): Anna Monfils, Libby Ellwood, Debra Linton, Molly Phillips, Joseph A. Cook, Joseph Kerski, Tracy Barbaro, Sam S Donovan, Karen Powers, L. Alan Prather, Rob Guralnick

    This resource has been updated - find the current version here: https://qubeshub.org/publications/328Natural history collection specimens and associated data provide unique physical and virtual opportunities to engage students in the practice of science in authentic, place-based lessons. We...

  7. Free Introduction to Python for Data Science Course at DataCamp

    0.0 out of 5 stars 

    06 Nov 2016 | Teaching & Reference Material | Contributor(s): Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/915Python is a general-purpose programming language that is becoming more and more popular for doing data science. Companies worldwide are using Python to harvest insights from...

  8. Free Introduction to R Course at DataCamp

    0.0 out of 5 stars 

    06 Nov 2016 | Teaching & Reference Material | Contributor(s): Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/914In this introduction to R, you will master the basics of this beautiful open source language, including factors, lists and data frames. With the knowledge gained in this...

  9. DataCamp

    0.0 out of 5 stars 

    06 Nov 2016 | Teaching & Reference Material | Contributor(s): Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/913The Easiest Way to Learn Data Science OnlineMaster data analysis from the comfort of your browser, at your own pace, tailored to your needs and expertise. Whether...

  10. DataCamp

    0.0 out of 5 stars 

    06 Nov 2016 | Teaching & Reference Material | Contributor(s): Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/913The Easiest Way to Learn Data Science OnlineMaster data analysis from the comfort of your browser, at your own pace, tailored to your needs and expertise. Whether...

  11. Training In-Service Teachers to Think Deeply About Modeling in the Common Core Movement

    0.0 out of 5 stars 

    11 Oct 2016 | Teaching & Reference Material | Contributor(s): Talitha Washington

    This resource has been updated - find the current version here: https://qubeshub.org/publications/242Over the years, I have conducted in-service teacher training sessions and workshops organized by the Capstone Institute at Howard University. My role has been to enhance teacher content...

  12. A BioGraphy of Life: How Graph Theory Makes Mathematics Recognizable, Relevant, and Research-Rich in Biology Education

    0.0 out of 5 stars 

    11 Oct 2016 | Teaching & Reference Material | Contributor(s): John R Jungck

    This resource has been updated - find the current version here: https://qubeshub.org/publications/241Biologists use graphs extensively in ecology, evolution, genetics, developmental biology, and biochemistry: phylogenetic trees, food webs, pedigrees, genetic networks, metabolic pathways,...

  13. A Framework for Modeling to Encourage Interdisciplinary Conversations

    0.0 out of 5 stars 

    11 Oct 2016 | Teaching & Reference Material | Contributor(s): Carrie Diaz Eaton

    This resource has been updated - find the current version here: https://qubeshub.org/publications/209Here we present a framework for thinking about what models and modeling are, particularly to other disciplines. We encourage that differing disciplinary approaches are seen as part of a...

  14. A Framework for Teaching Modeling to Biologists

    0.0 out of 5 stars 

    10 Oct 2016 | Teaching & Reference Material | Contributor(s): Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/publications/210What are the modeling skills and metacognitive strategies of importance for the life sciences? In this talk, we describe a teaching and learning framework around modeling...

  15. BIOQuest Summer Workshop 2016 – Bissell talk notes

    0.0 out of 5 stars 

    23 Jun 2016 | Teaching & Reference Material | Contributor(s): Ahrash Bissell

    This resource has been updated - find the current version here: https://qubeshub.org/publications/325Session title:Distributed creation, community guidance, and OER development: current models and emerging practicesSession description:Open educational resources (OER) encompass teaching,...

  16. 50 years of Data Science

    0.0 out of 5 stars 

    23 Feb 2016 | Teaching & Reference Material | Contributor(s): David Donoho

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/912More than 50 years ago, John Tukey called for a reformation of academic statistics. In ‘The Future of Data Analysis’, he pointed to the existence of an as-yet...

  17. 50 years of Data Science

    0.0 out of 5 stars 

    23 Feb 2016 | Teaching & Reference Material | Contributor(s): David Donoho

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/912More than 50 years ago, John Tukey called for a reformation of academic statistics. In ‘The Future of Data Analysis’, he pointed to the existence of an as-yet...

  18. Panel Discussion for using QUBES in your classroom

    0.0 out of 5 stars 

    27 Oct 2015 | Teaching & Reference Material | Contributor(s): DorothyBelle Poli, Bob Sheehy

    This resource has been updated - find the current version here https://qubeshub.org/publications/215QUBES will provide a panel of personnel who will be able to answer your questions and elaborate in a more complete way about the QUBES Hub functions, uses, and tools.  This session will...

  19. Reaching Across Boundaries: Building Relationships, Sharing, & Learning Online

    0.0 out of 5 stars 

    27 Oct 2015 | Teaching & Reference Material | Contributor(s): Ruth Kermish-Allen

    This resource has been updated - find the current version here: https://qubeshub.org/publications/245The tools of the digital age are beginning to change the way we interact, the way we learn, the way we act, and the way we define our identities...for better or worse.  How can this love...

  20. Understanding the Quantitative and Computational Skills of Incoming Biology Students

    0.0 out of 5 stars 

    27 Oct 2015 | Teaching & Reference Material | Contributor(s): Charles Umbanhowar Jr, Jason M Belitsky, P. Brodfuehrer, Gregory Davis, T. Haque, L. Lee, C. McFadden, Paul Overvoorde, M. Preest, Liz Stanhope, M. Vinces, Andrew Zieffler, Laura Ziegler

    This resource has been updated - find the current version here: https://qubeshub.org/publications/244Insufficient mathematical preparation has been linked to the failure of incoming students to persist in STEM-related majors.  In addition, recent advances in computation allow biologists...

Close

Home

Search