Course Syllabus

What you’ll learn

Mathematical Distance
Dimension Reduction
Singular Value Decomposition and Principal Component Analysis
Multiple Dimensional Scaling Plots
Factor Analysis
Dealing with Batch Effects
Clustering
Heatmaps
Basic Machine Learning Concepts