Intermediate R - Practice Strengthen your knowledge of the topics you learned in Intermediate R with a ton of new and fun exercises. 4 hours
Working with the RStudio IDE (Part 1) Learn the basics of the important features of the RStudio IDE. 3 hours
Working with the RStudio IDE (Part 2) Further your knowledge of RStudio and learn how to integrate Git, LaTeX, and Shiny 3 hours
Introduction to Spark in R using sparklyr Learn how to analyze huge datasets using Apache Spark and R using the sparklyr package. 4 hours Play preview
Introduction to PySpark Learn to implement distributed data management and machine learning in Spark using the PySpark package. 4 hours
ChIP-seq Workflows in R Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset. 4 hours
Introduction to Bioconductor Learn to use essential bioconductor packages using datasets from virus, fungus, human and plants! 4 hours
Data Privacy and Anonymization in R Publicly release data sets with a differential privacy guarantee. 4 hours Play preview
Differential Expression Analysis in R with limma Learn to use the Bioconductor package limma for differential gene expression analysis. 4 hours
Analyzing US Census Data in R Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools. 4 hours
Single-Cell RNA-Seq Workflows in R Analyze single-cell RNA-Seq data using normalization, dimensionality reduction, clustering and differential expression. 4 hours
