Description
What you will learn
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Basic statistical concepts and R programming skills for analyzing data in the life sciences.
- The underlying math of linear models useful for data analysis in the life sciences.
- The techniques used to perform statistical inference on high-throughput and high-dimensional data.
- Several techniques widely used in the analysis of high-dimensional data.