Data Analysis for Life Sciences

Harvard University via edX Professional Certificate

edX Professional Certificate based on 0 ratings

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Overview

Technological advances have transformed fields that rely on data by providing a wealth of information ready to be analyzed. From working with single 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 necessary to work with these massive datasets are in high demand, and this series will you learn those skills. Using the open-source...

Syllabus

Courses under this program:Course 1: Statistics and RAn introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.Course 2: Introduction to Linear Models and Matrix AlgebraLearn to use R programming to apply linear models to analyze data in life sciences.Course 3: Statistical Inference and Modeling for High-throughput ExperimentsA focus on the techniques commonly used to perform statistical inference on high throughput data.Course 4: High-Dimensional Data AnalysisA focus on several techniques that are widely used in the analysis of high-dimensional data.