Harvard University - Professional Data Analysis in Life Science
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Professional Data Analysis in Life Science at edX Overview
Professional Data Analysis in Life Science
at edX
Gain a comprehensive overview of Professional Data Analysis in Life Science
Duration | 4 months |
Mode of learning | Online |
Credential | Certificate |
Professional Data Analysis in Life Science at edX Highlights
Professional Data Analysis in Life Science
at edX
- Earn a certificate of completion
- Practice problems and assessments
Professional Data Analysis in Life Science at edX Course details
Professional Data Analysis in Life Science
at edX
Skills you will learn
What are the course deliverables?
- Basic statistical concepts and R programming skills for analyzing data in the life sciences.
- The underlying math of linear models useful for data analysis in the life sciences.
- The techniques used to perform statistical inference on high-throughput and high-dimensional data.
- Several techniques widely used in the analysis of high-dimensional data.
More about this course
- You’ll learn the mathematical concepts and the data analytics techniques that you need to drive data-driven research. From a strong foundation in statistics to specialized R programming skills, this series will lead you through the data analytics landscape step-by-step
Professional Data Analysis in Life Science at edX Curriculum
Professional Data Analysis in Life Science
at edX
Statistics and R
Introduction to Linear Models and Matrix Algebra
Statistical Inference and Modeling for High-throughput Experiments
High-Dimensional Data Analysis
Job Outlook
Professional Data Analysis in Life Science at edX Faculty details
Professional Data Analysis in Life Science
at edX
Rafael Irizarry
Professor of Biostatistics Harvard University
Michael Love
Assistant Professor, Departments of Biostatistics and Genetics
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