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Perform RNASeq, ChIPSeq, and DNA methylation data analyses, using open source software, including R and Bioconductor.Free^{*}5 weeks longAvailable now

Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloudscale...Free^{*}5 weeks longAvailable now

A focus on the techniques commonly used to perform statistical inference on high throughput data.Free^{*}4 weeks longAvailable now

Learn to use R programming to apply linear models to analyze data in life sciences.Free^{*}4 weeks longAvailable now

A focus on several techniques that are widely used in the analysis of highdimensional data.Free^{*}4 weeks longAvailable now

Increase your quantitative reasoning skills through a deeper understanding of probability and statistics.Free^{*}7 weeks longAvailable now

Learn probability theory â essential for a data scientist â using a case study on the financial crisis of 2007â2008.Free^{*}8 weeks longAvailable now

Learn inference and modeling: two of the most widely used statistical tools in data analysis.Free^{*}8 weeks longAvailable now

Learn probability, an essential language and set of tools for understanding data, randomness, and uncertainty.Free^{*}10 weeks longOpensJul 29