Intermediate
111 Lessons
29h 55min
Certificate of Completion
Takeaway Skills
The ability to perform basic and advanced statistical analysis with R
Working knowledge of various R packages and commands
An understanding of the contemporary framework for interpreting statistical models in R
The ability to test model prediction using diagnostic plots in R
An understanding of retrieving, cleaning, analyzing, and visualizing data with R
A deep understanding of generalized linear models for data with non-normal distributions
Course Overview
R is a widely used programming language for statistical computing. It features robust libraries that cover everything from basic data analytics to visualization functions for presentation. R is used by professional data scientists, researchers, and marketers. This course is a comprehensive introduction to modern statistical analysis using R, particularly for researchers in life and environmental sciences. You’ll review R and cover its functionality with its various packages. You'll review essential statist...
Course Content
Introduction
Description
Estimation
Linear Models
Regression
Prediction
6 Lessons
Testing
7 Lessons
Intervals
10 Lessons
Analysis of Variance
6 Lessons
Factorial Designs
8 Lessons
Analysis of Covariance
6 Lessons
Linear Model Complexities
9 Lessons
Generalized Linear Models
7 Lessons
GLMs for Count Data
4 Lessons
Binomial GLMs
5 Lessons
GLMs for Binary Data
5 Lessons
Conclusion
5 Lessons
Appendix
2 Lessons
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