Note that all theses courses have free audit version. Look for the audit button.
Eight college-level courses and a capstone project.
The textbook for these courses is online and the hardcopy (not free) you can get on Amazon.
Spanish version is being developed here.
To use this material to develop your own course you can access and edit the notes here.
The series landing page is here
R Basics: Introduction to R.
Data Visualization: Data visualization principles, ggplot2.
Probability: Expected values, standard errors, Monte Carlo simulations.
Inference and Modeling: Estimates, statistical tests, models, Bayesian statistics.
Data Wrangling: Importing data, web scraping, reshaping data, tidyverse.
Productivity Tools: Linux, Git and GitHub, Rmarkdown, RStudio.
Linear Regression: correlation, least squares, multivariate statistics, confounding.
Machine Learning: cross validation, kNN, random forests, caret package.
Capstone Project: Do your own data analysis project.
Four graduate-level courses developed for life scientists suddenly needing to analyze complex data.
To use this material to develop your own course you can access videos and course materials here.
You can downloada a free PDF version of the textbook from Leanpub and the paperback (not free) you can get on Amazon.
The series landing page is here.
Statistics and R: Basic statistical inference with R base.
Introduction to Linear Models and Matrix Algebra: Experimental design, interactions.
Statistical Inference and Modeling for High-throughput Experiments: multiple testing, FDR.
High-Dimensional Data Analysis: PCA, batch effects.
Three graduate-level courses developed for life scientists needing to analyze high-throughput data. Focuses on Bioconductor.
To use this material to develop your own course you can access some videos and course materials here.
The series landing page is here.
Introduction to Bioconductor: introduction to measurement technologies, annotation, data organization, differential expression.
Case Studies in Functional Genomics: RNA-Seq, DNA methylation, ChIP-Seq.
Advanced Bioconductor: Dataviz, HDF5, TCGA data, ENCODE data.
These are course notes for advanced graduate statistics courses. You are free to borrow the material to help develop your own courses.