Training Contents


Name
Description
Content
Keywords
Author
The Statistical Software Toolkit
An overview of five top statistical software packages; includes demos.
statistical software, SAS, R, STATA, SPSS, Excel
Dr. Mark Williamson

Generalized Linear Mixed Models for Everything
A demonstration of using the framework of the generalized linear mixed model to replicate a various standard statistical tests.
generalized linear mixed model, SAS, t-test, ANOVA, linear regression, Poisson regression, logistic regression, mixed model
Dr. Mark Williamson

Python in Ten: Part 1
Quick, bite-sized guide to basic usage and tasks in Python on installation.
python
Dr. Mark Williamson

Python in Ten: Part 2
Quick, bite-sized guide to basic usage and tasks in Python on obligatory fundamentals.
python
Dr. Mark Williamson

Python in Ten: Part 3
Quick, bite-sized guide to basic usage and tasks in Python on exploring a large dataset.
python
Dr. Mark Williamson

Python in Ten: Part 4
Quick, bite-sized guide to basic usage and tasks in Python on splitting data.
python
Dr. Mark Williamson

Python in Ten: Part 5
Quick, bite-sized guide to basic usage and tasks in Python on extracting data.
python
Dr. Mark Williamson

Python in Ten: Part 6
Quick, bite-sized guide to basic usage and tasks in Python on editing data.
python
Dr. Mark Williamson

Introduction to Data Analysis in SPSS
An introduction to data analysis using SPSS; includes an overview of data analysis, terminology and definitions, data exploration, data analysis, and the interpretation of results.
data analysis, SPSS, graphs, statistical tests, data exploration, data interpretation, hypothesis testing
Dr. Mark Williamson

University of Minnesota Introduction to Biostatistics
This online training provides an overview of sampling mathematics (average, range, variance, standard deviation, etc.), histograms, normal population distribution, and the 68-95-99.7 rule.
statistics
University of Minnesota

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