Virtual program of:edX |
Basic statistical concepts and R programming skills to analyze data in the life sciences.
The underlying mathematics of linear models useful for data analysis in the life sciences.
The techniques used to perform statistical inferences on high-performance data and dimensions.
Various techniques widely used in the analysis of high-dimensional data.
4 months. 2 - 4 hours per week suggested.
4 virtual courses in soft skills
Technological advances have transformed data-dependent fields by providing a wealth of information ready for analysis.
From working with individual genes to comparing entire genomes, biomedical research groups around the world are producing more data than they can handle, and the ability to interpret this information is a key skill for any practitioner.
The skills needed to work with these massive data sets are in high demand, and this series will help you learn those skills.
With the open source R programming language, you'll gain a detailed understanding of the tools needed to work with complex data from life sciences and genomics.
You'll learn the mathematical concepts and data analysis techniques you need to drive data-driven research.
From a strong foundation in statistics to specialized R programming skills, this series will guide you through the data analysis landscape step by step.
Taught by Rafael Irizarry of the Harvard TH Chan School of Public Health, these courses will enable new discoveries and help you improve individual and population health.
If you work in the life sciences and want to learn how to analyze data, sign up now to take your research to the next level.
Whether you're looking to accelerate your career, earn a degree, or learn something for personal reasons, edX has the right courses for you.
Boost your career with college-backed credit programs and verified certificates.
Study and demonstrate knowledge at your preferred study time.
Try the courses before paying.
Learn alongside university partners and colleagues from around the world.
Expert HarvardX faculty and instructors committed to high-quality virtual education.
Hello how can I help you? Are you interested in a course? About what subject?
Add a review