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50 years of Data Science
out of 5 stars
23 Feb 2016 | | 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...
50 Years of Data Science
30 Oct 2018 | Teaching Materials | Contributor(s):
By David Donoho
This paper reviews some ingredients of the current “Data Science moment”, including recentcommentary about data science in the popular media, and about how/whether Data Science isreally different...
A Fun Introductory Command Line Exercise: Next Generation Sequencing Quality Analysis with Emoji!
28 Feb 2019 | Teaching Materials | Contributor(s):
By Rachael St. Jacques1, Max Maza1, Sabrina Robertson2, Guoqing Lu3, Andrew Lonsdale4, Ray A Enke5
1. Department of Biology, James Madison University 2. Department of Psychology & Neuroscience, University of North Carolina at Chapel Hill 3. Department of Biology and School of Interdisciplinary Informatics, University of Nebraska Omaha 4. ARC Centre of Excellence in Plant Cell Walls, Melbourne University 5. James Madison University
This resource is a fun computer-based intro to command line programming. The activity takes FASTQ NGS data files and runs a fun program called FASTQE.
07 Jun 2019 | Teaching Materials | Contributor(s):
An evolution curriculum designed around understanding the rise and spread of drug-resistant pathogens
07 Jun 2018 | Teaching Materials | Contributor(s):
By Aditi Pai1, Amanda Gibson2
1. Spelman College 2. Emory University
Poster on teaching concepts in evolution and data science skills in an upper level Biology elective at Spelman College presented at the 2018 QUBES/BioQUEST Summer Workshop
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...
Biobyte 3 - Lab reports as reproducible research
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...
Biobyte 4 - The role of data science principles and practices in undergraduate biology
15 Aug 2019 | Teaching Materials | Contributor(s):
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,...
Biodiversity Literacy in Undergraduate Education (BLUE): Building standards and resources for using collections data in the classroom
26 Jun 2019 | Teaching Materials | Contributor(s):
By Molly Phillips1, Debra Linton2, Libby Ellwood3, Natalie Douglas2, Lisa White4, Anna Monfils2
1. iDigBio, Florida Museum of Natural History, University of Florida 2. Central Michigan University 3. La Brea Tar Pits and Museum, Natural History Museum of Los Angeles County 4. University of California Museum of Paleontology, UC Berkeley
Abstract for poster on using collections data presented at the 2019 BioQUEST & QUBES Summer Workshop
BIOINFORMATICS: TEACHING BIOLOGY AS A DATA SCIENCE! Removing obstacles for Integrating Bioinformatics Into Biology Curriculum
09 Jun 2019 |
Posted by Carlos Christopher Goller
Jun 04 2019
Biological and Environmental Data Education Planning Meeting
Calling Bull in an Age of Big Data with R
26 Apr 2019 | Teaching Materials | Contributor(s):
By Carrie Diaz Eaton
Bates College and QUBES
Use the calling bull course to introduce students to data, ethics, visualization, and R.
29 May 2019 | Teaching Materials | Contributor(s):
Calling Bull: Data Reasoning in a Digital World
By Carl Bergstrom1, Jevin West1
University of Washington
"So, the aim of this course is to help students navigate the bullshit-rich modern environment by identifying bull seeing through it, and combating it with effective analysis and argument."