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  1. Swirl

    0.0 out of 5 stars 

    10 Jul 2020 | Software (On-site)

    Swirl: Learn R, in R

  2. Radiant Lite

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    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. Introduction to Genome Browser: What is a Gene?

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    21 Feb 2018 | Teaching & Reference Material | Contributor(s): Joyce Stamm

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/850 Genes encode information that our cells use to carry out their functions. In particular,...

  5. Introduction to Genome Browser: What is a Gene?

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    21 Feb 2018 | Teaching & Reference Material | Contributor(s): Joyce Stamm

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/850 Genes encode information that our cells use to carry out their functions. In particular,...

  6. Radiant

    0.0 out of 5 stars 

    16 Sep 2015 | Software (On-site)

    Business analytics using R and Shiny.

  7. Avida-ED Lab Book Summer 2017

    0.0 out of 5 stars 

    27 Jul 2017 | Teaching & Reference Material | Contributor(s): Wendy Johnson, Cory Kohn, Amy Lark, Louise Mead, Robert T Pennock, Jim Smith, Michael James Wiser

    The Summer 2017 version of the Avida-ED Lab Manual includes the addition of an exercise that covers genetic drift (Exercise 4: Exploring Population Change Without Selection) 

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

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    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...

  9. Free Introduction to R Course at DataCamp

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    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...

  10. DataCamp

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    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. 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...

  12. 50 years of Data Science

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    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...

  13. 50 years of Data Science

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    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...

  14. AIMS: Dendroclimatology

    0.0 out of 5 stars 

    21 Dec 2015 | Teaching & Reference Material | Contributor(s): Stockton Maxwell, Jeremy M Wojdak

    This resource has been updated - find the current version here: https://qubeshub.org/publications/544/The AIMS (Analyzing Images to learn Mathematics and Statistics) project was founded on the idea that students don't often care much about analysis until they care about...

  15. Modernizing Statistics Education via Biology Applications

    0.0 out of 5 stars 

    21 Oct 2015 | Teaching & Reference Material | Contributor(s): Olcay Akman

    This resource has been updated - find the current version here: https://qubeshub.org/publications/254In most traditional statistics courses, instructors use data from different fields in an effort to give the courses an interdisciplinary flavor. They generally fail because these attempts...

  16. Global Temperature Change in the 21st Century

    0.0 out of 5 stars 

    23 Sep 2015 | Teaching & Reference Material | Contributor(s): Daniel R. Taub, Gillian S. Graham

    This resource has been updated - find the current version here: https://qubeshub.org/publications/263The Ecological QuestionHow might global temperature change during the 21st century?  How might these changes vary geographically, seasonally, and depending upon future human...

  17. Changes in Lake Ice: Ecosystem Response to Global Change

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    23 Sep 2015 | Teaching & Reference Material | Contributor(s): Robert E. Bohanan, Marianne Krasny, Adam Welman

    This resource has been updated - find the current version here: https://qubeshub.org/publications/266Ecological QuestionIs there evidence for global warming in long term data on changes in dates of ice cover in three Wisconsin Lakes?This activity uses ice cover records from three lakes in...

  18. HHMI Teacher Guide: Math and Statistics

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    23 Sep 2015 | Teaching & Reference Material | Contributor(s): Paul Strode, Ann Brokaw

    This resource has been updated - find the current version here: https://qubeshub.org/publications/342Topics include measures of average (mean, median, and mode), variability (range and standard deviation), uncertainty (standard error and 95% confidence interval), Chi-square analysis, student...

  19. Investigating the Footprint of Climate Change on Phenology and Ecological Interactions in North-Central North America

    0.0 out of 5 stars 

    23 Sep 2015 | Teaching & Reference Material | Contributor(s): Kellen M. Calinger

    This resource has been updated - find the current version here: https://qubeshub.org/publications/267The Ecological QuestionHave long-term temperatures changed throughout Ohio? How will these temperature changes impact plant and animal phenology, ecological interactions, and, as a result,...

  20. R Commander

    0.0 out of 5 stars 

    04 Sep 2015 | Software (On-site) | Contributor(s): Drew LaMar

    R provides a powerful and comprehensive system for analysing data and when used in conjunction with the R-commander (a graphical user interface, commonly known as Rcmdr) it also provides one that is easy and intuitive to use.

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