Data Analysis Courses

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Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.

Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.

Learn to process and convert raw data into formats needed for analysis.  

Learn to use R programming to apply linear models to analyze data in life sciences.

This three-course program from Harvard Business School (HBS) Online will teach you the fundamental skills to confidently contribute to business decisions and decision-making.  

Show what you’ve learned from the Professional Certificate Program in Data Science.

Show what you’ve learned from the Professional Certificate Program in Data Science.

Learn how to effectively use data to tackle your business decisions. Designed for managers, this course provides a hands-on approach for demystifying the data science ecosystem and making you a more conscientious consumer of information.

Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.

Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.

Learn inference and modeling: two of the most widely used statistical tools in data analysis.

Learn basic data visualization principles and how to apply them using ggplot2.

Learn how to effectively use data to tackle your business decisions. Designed for managers, this course provides a hands-on approach for demystifying the data science ecosystem and making you a more conscientious consumer of information.

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

A focus on the techniques commonly used to perform statistical inference on high throughput data.

Learn inference and modeling: two of the most widely used statistical tools in data analysis.

Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor.

Learn simple graphical rules that allow you to use intuitive pictures to improve study design and data analysis for causal inference.

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

A focus on several techniques that are widely used in the analysis of high-dimensional data.

Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results, reproduce them yourself, and communicate them to others.

Learn introductory programming and data analysis in MATLAB, with applications to biology and medicine.

Develop a data mindset and the analytical skills to interpret and communicate data while applying concepts to real business problems in this course from Harvard Business School (HBS) Online.

Learn how to use decision trees, the foundational algorithm for your understanding of machine learning and artificial intelligence.

Develop skills in digital research and visualization techniques across subjects and fields within the humanities.

Discover how to combine AI-powered analysis with visual storytelling to turn complex data into clear insights that drive smarter decisions.

Learn basic data visualization principles and how to apply them using ggplot2.

Build a foundation in R and learn how to wrangle, analyze, and visualize data.