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Swirl
10 Jul 2020 | Software (On-site)
Swirl: Learn R, in R
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Radiant Lite
24 Jul 2019 | Software (On-site) | Contributor(s): Drew LaMar
Stripped down version of Radiant on QUBES
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Radiant Lite
24 Jul 2019 | Software (On-site) | Contributor(s): Drew LaMar
Stripped down version of Radiant on QUBES
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Radiant
16 Sep 2015 | Software (On-site)
Business analytics using R and Shiny.
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Pokemon Go and Ecology
17 Feb 2017 | Teaching & Reference Material | Contributor(s): Elizabeth C Davis-Berg, Joshua Drew, Stephanie Sardelis <stephanie.sardelis@gmail.com>
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/787These are resources associated with using Pokemon Go to teach concepts in Ecology. They can be used from Introductory non-majors classes up through graduate classes.
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Free Introduction to Python for Data Science Course at DataCamp
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...
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Free Introduction to R Course at DataCamp
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...
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DataCamp
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...
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DataCamp
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...
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Mutation and Selection: An Exploration of Antibiotic Resistance in Serratia marcescens
15 Sep 2016 | Teaching & Reference Material | Contributor(s): Laurel Hester, Mark Sarvary, Corey Ptak
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/875I published this paper with Mark Sarvary and Corey Ptak in the 2014 Proceedings of the Association for Biology Laboratory Education based on a laboratory module we...
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50 years of Data Science
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...
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50 years of Data Science
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...
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DataONE Module 01: Why Data Management?
03 Jan 2016 | Teaching & Reference Material
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/911Trends in data collection, storage and loss, the importance and benefits of data management, and an introduction to the data life cycle.Slides (PPTX)One page...
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DataONE Module 03: Data Management Planning
03 Jan 2016 | Teaching & Reference Material
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/910Benefits of a data management plan (DMP), DMP components, tools for creating a DMP, NSF DMP information, and a sample DMP.Slides (PPTX)One page handout...
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DataONE Module 02: Data Sharing
02 Jan 2016 | Teaching & Reference Material
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/909Data sharing in the context of the data life cycle, the value of sharing data, concerns about sharing data, and methods and best practices for sharing data.Slides...
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AIMS: Dendroclimatology
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...
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Disease Spread
22 Nov 2015 | Teaching & Reference Material | Contributor(s): Brian Winkel
An activity in which students model the spread of disease using one differential equation.
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Yeast Cell Growth
19 Nov 2015 | Teaching & Reference Material | Contributor(s): Claudia Neuhauser
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/755Excel Workbook on lab data for yeast growth experiments provides a series of stepwise tasks for data analysis.
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Confidence Intervals Tutorial
19 Nov 2015 | Teaching & Reference Material | Contributor(s): Claudia Neuhauser, David Phillip Schladt
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/754This Excel mini-tutorial introduces the calculation and application of confidence intervals.
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Modernizing Statistics Education via Biology Applications
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...