Resources

Fantastic datasets and where to find them:

• Kaggle: Community curated datasets from all sorts of disciplines
• Harvard Dataverse: Harvard-managed database containing ~100K datasets from various sources.
• Our World in Data: Numbers of the World

Websites that give you a helping hand when you are stuck:

• R-bloggers: A repository of blogs focusing on R across the globe.
• Gaston Sanchez, UC Berkeley: So many R tutorials and vignettes that will blow your mind.
• Statistical tools for high-throughput data analysis (STHDA): Maintained by Alboukadel Kassambara (PhD in Bioinformatics and Cancer Biology) who authored several helpful R packages including ggpubr, survminer, ggcorplot, and factoextra.
• StatQuest: A great way of learning statistics and machine learning concepts without getting into heavy mathematics.
• useR! Machine Learning Tutorial: Tutorial from the R user conference 2016 focusing on using machine learning algorithms in R.