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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
- Learn the basics of machine learning, the science behind the most popular and successful data science techniques, as you build a...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
- Dive into advanced methods for data wrangling, data visualization, and statistical modeling and prediction.$2,750StartsJan 28
- Explore and discuss how to design data systems, data structures, and algorithms for key data-driven areas.$2,750StartsJan 28
- Learn how to perform high quality data science and learn the intuition behind statistical methods.$1,700+StartsJan 28
- Dive deeper into the next level of fundamentals that are truly impactful for data science teams in real organizations using...$2,750+StartsJan 28
- In this course, we review use cases and challenges of three interrelated areas in computer science: big data, the Internet of...$2,750+StartsJan 28