Professional Certificate in Data Analysis for Life Sciences

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Course Features

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Duration

4 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Effort

4 hours per week

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Teaching Type

Self Paced

Course Description

Technological advancements have revolutionized the fields that depend on data, providing an abundance of information that can be analyzed. Biomedical research groups all over the globe are producing more data than can be handled. This makes it crucial for practitioners to have the ability to interpret the information. These skills are highly sought after and will be taught in this series.

You’, using the open-source R programming languages, will gain a deeper understanding of how to work with complex genomics and life sciences data. You’, will learn the mathematical concepts and data analytics techniques necessary to drive data-driven research. This series will guide you step-by-step through the data analytics landscape, from a solid foundation in statistics to advanced R programming skills.

Rafael Irizarry, Harvard T.H. These courses are taught by Rafael Irizarry from the Harvard T.H. Chan School of Public Health. They will allow you to make new discoveries and help improve individual and community health. Register now if you are interested in life sciences research and would like to learn more about data analysis.

Course Overview

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Several techniques widely used in the analysis of high-dimensional data

The techniques used to perform statistical inference on high-throughput and high-dimensional data

The underlying math of linear models useful for data analysis in the life sciences

Basic statistical concepts and R programming skills for analyzing data in the life sciences

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