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All members of the U-M community – faculty, staff, and students – are invited to join weekly virtual CoderSpaces to get support with research methodology, statistics, data science applications, and computational programming for research. CoderSpaces hosts have a wide set of methodological and technological expertise. The weekly virtual office hours provide a casual, productive and […]
Data analysis courses address methods for managing and analyzing large datasets. Start your career as a data scientist by studying data mining, big data applications, and data product development.
Data analysis courses address methods for managing and analyzing large datasets. Start your career as a data scientist by studying data mining, big data applications, and data product development.
Predictive Sports Analytics with Real Sports Data. Anticipate player and team performance using sports analytics principles.
CRAN task views aim to provide some guidance to which packages on CRAN are relevant for tasks related to a certain topic. The views are intended to have a sharp focus so that it is sufficiently clear…
CSCAR provides individualized support and training to U-M researchers in a variety of areas relating to the management, collection and analysis of data. The team at CSCAR also offers intermittent workshops. Upcoming workshops can be found at this link.
Statistics help page designed by David Lane of Rice University, Department of Psychology offers variety of interactive statistical tool and resources
Free and open-source software for data science, scientific research, and technical communication on GitHub RStudio
The presenters advocate for eliminating the application of thresholds to p-values; that is, it is time to say “goodbye” to the use of “statistical significance” and its variants. They will explain why, and start the discussion of what to do instead. It won’t be easy, they say, because it requires accepting uncertainty, thoughtfulness, openness, modesty, […]
The video and written tutorials on this page are primarily designed for users who are new to Shiny and want a guided introduction.
Web pages performing statistical calculations and guidance on choosing the right statistical analysis on the data
The R graph gallery is a collection of charts made with the R programming language.
A rich website offering text book and data analysis examples using STATA, SAS, SPSS, MPlus and R.
These pages contain example programs and output with footnotes explaining the meaning of the output. This is to help you more effectively read the output that you obtain and be able to give…
Resources recommended during Dr. Susan Ellenberg’s lecture on September 12, 2019.
Website of Vanderbilt University Statistical Computing