Introduction to Data Science for Biologists
Image credit: statlearning
Details: Data wrangling, visualization, hypothesis testing, inference, predictive modeling, supervised and unsupervised learning introductions
Rich Adams
Data Scientist | Assistant Professor of Agricultural Statistics
I am a broadly trained statistical geneticist and data scientist with research in statistical population genetics, mathematical & algorithmic phylogenomics, computational/functional genomics, and artificial intelligence-driven applications in genetics.