Course abstract

Analysis of data is an integral part of biology, both in academic research and the Industry. With the  advent of high-throughput techniques, biological data analysis has crossed the realm of classical  statistical techniques and now involves techniques used by the wider data analytic and machine  learning community. It is now expected that every biology student is acquainted with the key concepts  and tools of data analysis. This course is designed specifically for biology students to learn the key  concepts, applications, and limitations of commonly used data analysis techniques. This course  emphasizes visualization and analysis of higher-dimensional data, like clustering, classification, and  dimensionality reduction.