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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

The structure, annotation, normalization, and interpretation of genome scale assays.Free^{*}5 weeks longAvailable now

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

An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.Free^{*}4 weeks longAvailable now

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

Learn basic data visualization principles and how to apply them using ggplot2.Free^{*}8 weeks longAvailable now

Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008.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

Show what you’ve learned from the Professional Certificate Program in Data Science.Free^{*}2 weeks longAvailable now

Build a foundation in R and learn how to wrangle, analyze, and visualize data.Free^{*}8 weeks longAvailable now

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

Apply tools of singlevariable calculus to create and analyze mathematical models used by real practitioners in social, life, and...Free^{*}10 weeks longAvailable now