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- An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.FreeAvailable now
- A focus on several techniques that are widely used in the analysis of high-dimensional data.FreeAvailable now4 weeks
- A focus on the techniques commonly used to perform statistical inference on high throughput data.FreeAvailable now4 weeks
- Learn to use R programming to apply linear models to analyze data in life sciences.FreeAvailable now4 weeks
- In this capstone course, show what you’ve learned from the HarvardX Data Science series. You will have the opportunity to create...FreeAvailable now2 weeks
- Build a foundation in R and learn how to wrangle, analyze, and visualize data.FreeAvailable now4 weeks
- Learn basic data visualization principles and how to apply them using ggplot2.FreeAvailable now4 weeks
- Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008.FreeAvailable now4 weeks
- Learn inference and modeling: two of the most widely used statistical tools in data analysis.FreeAvailable now4 weeks
- Increase your quantitative reasoning skills through a deeper understanding of probability and statistics.FreeStartsJan 227 weeks
- This course covers integration, differential equations, and Taylor series with applications.$1,700+StartsJan 28
- This course is aimed at the rigorous development of statistical inference.$1,700+StartsJan 28
- Understand and invent proofs of theorems in real and functional analysis.$1,700+StartsJan 28
- Learn mathematical programming and combinatorial optimization theory and applicable techniques.$2,750+StartsJan 28
- This course is a rigorous introduction to statistics for students intending to study economics and other quantitative fields.$1,700+StartsJan 28