Sorry, you need to enable JavaScript to visit this website.

Data Collection

  • A song for use in helping students identify factors that allow a sample of data to be representative of the population and distinguish between random and convenience samples.  Lyrics © 2016 by Amy Adler, may be sung to the tune of “Miss Susie had a steamboat.”This song is part of an NSF-funded library of interactive songs that involved students creating responses to prompts that are then included in the lyrics (see www.causeweb.org/smiles for the interactive version of the song, a short reading covering the topic, and an assessment item).

    https://www.causeweb.org/cause/resources/fun/songs/enlightened-teacher
    0
    No votes yet

  • A song for use in helping students to learn the four levels of measurement (nominal, ordinal, interval, ratio) in appropriate hierarchical order and to identify examples of each in context.  Lyrics by Larry Lesser and music by Larry Lesser and Dominic Dousa copyright 2015.  This song is part of an NSF-funded library of interactive songs that involved students creating responses to prompts that are then included in the lyrics (see www.causeweb.org/smiles for the interactive version of the song, a short reading covering the topic, and an assessment item).

    https://www.causeweb.org/cause/resources/fun/songs/levels-measurement
    0
    No votes yet

  • As our economy, society, and daily life become increasingly dependent on data, work across nearly all fields is becoming more data driven, affecting both the jobs that are available and the skills that are required. At the request of the National Science Foundation, the National Academies of Sciences, Engineering, and Medicine were asked to set forth a vision for the emerging discipline of data science at the undergraduate level. The study committee considered the core principles and skills undergraduates should learn and discussed the pedagogical issues that must be addressed to build effective data science education programs. Data Science for Undergraduates: Opportunities and Options underscores the importance of preparing undergraduates for a data-enabled world and recommends that academic institutions and other stakeholders take steps to meet the evolving data science needs of students. 

     

    Watch the report release webinar here:  https://vimeo.com/269033724  

    https://www.nap.edu/read/25104/chapter/1
    0
    No votes yet

  • RStudio Cloud makes it easy for professionals, hobbyists, trainers, teachers and students to do, share, teach and learn data science using R.  Create analyses using RStudio directly from your browser - there is no software to install and nothing to configure on your computer.  Share your projects - and access those of others - without worrying about data transfer or package installation. Each project defines its own environment, and RStudio Cloud automatically reproduces that environment whenever anyone accesses the project.  It’s easy to share analyses with the world - but it’s also simple to collaborate with a select group in a private space. You control who can enter a space - and via roles, you have fine grained control over what each user can do.  There are also many learning materials available: interactive tutorials covering the basics of data science, cheatsheets for working with popular R packages, links to Datacamp courses, and a guide to using RStudio Cloud.

    https://rstudio.cloud/
    0
    No votes yet

  • swirl is a software package for the R programming language that turns the R console into an interactive learning environment. Users receive immediate feedback as they are guided through self-paced lessons in data science and R programming.

    http://swirlstats.com/
    0
    No votes yet

  • Gapminder seeks to educate all on the importance of "factfulness" and of knowing and contextualizing the statistics that describe the state of our world.  These data sets provide facts from across the globe such as average income, life expectancy, energy use, education levels, and much more.

    https://www.gapminder.org/data/
    0
    No votes yet

  • Gapminder seeks to educate all on the importance of "factfulness" and of knowing and contextualizing the statistics that describe the state of our world.  Learn facts from across the globe such as average income, life expectancy, energy use, education levels, and much more.

    Download Gapminder’s slides, tools, posters, handouts, lesson plans, and presentations at this webpage.

    https://www.gapminder.org/downloads/
    0
    No votes yet

  • Gapminder seeks to educate all on the importance of "factfulness" and of knowing and contextualizing the statistics that describe the state of our world.  Learn facts from across the globe such as average income, life expectancy, energy use, education levels, and much more.

    This particular page gives teachers resources to use in their classrooms involving the tools and data found on Gapminder.

    https://www.gapminder.org/for-teachers/
    0
    No votes yet

  • Gapminder seeks to educate all on the importance of "factfulness" and of knowing and contextualizing the statistics that describe the state of our world.  Learn facts from across the globe such as average income, life expectancy, energy use, education levels, and much more.

    https://www.gapminder.org/
    0
    No votes yet

  • CATS, established in 1978, promotes the statistical sciences, statistical education, statistics applications, and related issues affecting the statistics community. The mission and scope of CATS evolved over time as interdisciplinary collaboration increasingly shaped the character of scientific research. After a brief hiatus, CATS was reconstituted in 2011 and has since focused on improving the visibility and practice of statistics within government agencies not well connected to statistics, increasing attention to statistical issues of big data and data science, and helping agencies identify bottlenecks impairing their analysis capabilities. Its multidisciplinary members are experts from statistics and related fields and leaders in diverse areas of interdisciplinary research, including the analysis of large-scale data, computational biology and bioinformatics, spatial data, environmental science, neuroscience, health care policy, and complex computer experiments.

    http://sites.nationalacademies.org/DEPS/BMSA/DEPS_047575
    0
    No votes yet

Pages

list