Click on the tabs above to find out more about our statistics workshops.
1. Basic Statistical Concepts - A lecture format theoretical workshop that reviews the statistical concepts needed to select measures and run statistical tests.
2. Basic Statistics in Excel - Learn how to complete and interpret descriptive statistics, t-tests, and correlations in Excel in this hands-on workshop.
3. Data Visualization in Excel - Learn how to transform descriptive statistics, t-tests, and correlations into helpful visualizations and learn how to create these statistical graphs in excel.
4. Basic Statistics in SPSS - Learn how to complete and interpret descriptive statistics, t-tests, ANOVA, correlation, and multiple regression in SPSS in this hands-on workshop.
5. Statistics in R Workshop Series - Learn how to perform hypothesis testing (Workshop I), descriptive statistics (Workshop I), statistical assumptions (Workshop II), inferential statistics (Workshop III), and statistical visualization in R (Workshop IV). This is a 4 part series.
You can attend any workshop in the series without attending all of them; however, if you skip ahead in the series we recommend reviewing the pre-requisites (listed under each tab) to make sure you are prepared. Some of the workshops cover the same material with different software. If you would like to schedule a version of this sequence for your lab, student group, or as part of a class, reach out to us at DataServices@uoregon.edu.
If no upcoming events are listed for this class sequence below, you can search for related classes on our workshop schedule page.
Software: | None |
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Duration: | 90 min |
Room description: |
Knight Library Dream Lab
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Software: | Excel with Statistics Plug-in (comes with Excel, but must be enabled) |
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Duration: | 90 min |
Room description: |
Knight Library Room 144
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Prerequisites: | This course does not cover statistical theory, only application in Excel. Prior statistics course or Basic Theoretical Statistics Workshop required. |
Skills Taught / Learning Outcomes: |
1. Descriptive Statistics 2. Assumptions 3. Correlations 4. T-test |
Class Materials: |
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Related Classes: |
Basic Statistical Concepts, Basic Visualization in Excel |
Accessibility: |
Click here to learn how to use Excel with a screen reader and click here for best practices for designing accessible Excel spreadsheets. All of our workshop classrooms are wheelchair accessible and offer at least some chairs with no arms. |
Software: | Excel |
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Duration: | 90 min |
Room description: |
Knight Library Room 144 |
Prerequisites: | Knowledge of statistical tests covered is necessary. Prior statistics course or Introduction to Statistics Workshop required. |
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Class Materials: |
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Related Classes: | Basic Statistical Concepts, Basic Statistics in Excel |
Accessibility: |
Click here to learn how to use Excel with a screen reader and click here for best practices for designing accessible Excel spreadsheets. All of our workshop classrooms are wheelchair accessible and offer at least some chairs with no arms. |
Check back soon for a full description of this workshop.
Software: | R, R-Studio |
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Duration: | 90 min |
Room description: |
Currently Online |
Prerequisites: |
These workshops are intended to build off of the Master the Tidyverse workshop series. The Master the Tidyverse series or comparable competency and an understanding of introductory statistics, RStudio, and RMarkdown is required. |
Skills Taught / Learning Outcomes: |
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Class Materials: |
Sign up for Statistics in R Workshop Sequence - Materials |
Related Classes: | Basic Statistical Concepts, Tidyverse Series |
Accessibility: |
Workshop classrooms are wheelchair accessible and include at least some chairs without arms. Base R is accessible to screen readers without modification, according to this linked report. While this class is taught using RStudio, which will not have an interface accessible to screen readers until some time in 2020, students can participate in the course using the screen reader-compatible base R. |