An introduction to the R programming language and the components of programming including syntax, data types, dataframes and basic data analysis.
Introduction to Statistical Analysis in R - Part I
Introduction to Statistical Analysis in R - Part II
biostatistics
This workshop will focus on choosing an appropriate statistical test given data and hypothesis. Specific topic include the following: t-tests, ANOVA, non-parametric tests, Chi-square test and Fisherâ€™s exact test.
biostatistics
Introduction to GraphPad Prism, data tables, and data entry, formatting data, specifying groups, or entire data sets, changing the range and measurements scales as we as exporting.
biostatistics
An introduction to the R programming language and the components of programming including syntax, data types, dataframes and basic data analysis.
biostatistics
Crash course in R and BioConductor: Introduction to R and how to program R, create graphs and figures and write scripts.
biostatistics
Automating biostatistics workflows using R-based webtools
biostatistics
R programming training for building better graphs with best practices and hand on demos to take your graphs to the next level.
biostatistics
Graphpad Prism Charting & Statistics including training on grouped bar charts, XY plots, two columns layouts and customizing your charts.
biostatistics
Overview of statistics: Statistical testing, data handling and data quality
biostatistics
Design of experiments, introduces the statistical considerations and the process of planning, completing and analyzing data. Classis DOE attempts to coerce all experiments into a handful of well know designs. Modern statistics software is covered that enables flexible but sensible designs.
biostatistics
Description of common categorical models including contingency tables, Fisher's exact test, contingency tables, and linear models.
biostatistics
Intro to JMP for statistics including JMP file types, setup, importing data, working with rows and columns, etc.