Harvard University is offering free online course on Introduction to Linear Models and Matrix Algebra. In this introductory data analysis course, University will use matrix algebra to represent the linear models that commonly used to model differences between experimental units.
In this four week course, applicants will learn to use R programming to apply linear models to analyze data in life sciences. This course will start on July 1, 2017.
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( votes)Course At A Glance
Length: 4 weeks
Effort: 2-4 hours pw
Subject: Biology & Life Sciences
Institution: Harvard University and edx
Languages: English
Price: Free
Certificate Available: Yes, Add a Verified Certificate for $49
Session: Course Starts on July 1, 2017
Providers’ Details
Harvard University is devoted to excellence in teaching, learning, and research, and to developing leaders in many disciplines who make a difference globally. Harvard faculty are engaged with teaching and research to push the boundaries of human knowledge.
About This Course
Given the diversity in educational background of our students we have divided the series into seven parts. You can take the entire series or individual courses that interest you. If you are a statistician you should consider skipping the first two or three courses, similarly, if you are biologists you should consider skipping some of the introductory biology lectures.
Why Take This Course?
Matrix Algebra underlies many of the current tools for experimental design and the analysis of high-dimensional data.
Learning Outcomes
- Matrix algebra notation
- Matrix algebra operations
- Application of matrix algebra to data analysis
- Linear models
- Brief introduction to the QR decomposition
Instructors
Rafael Irizarry
Rafael Irizarry is a Professor of Biostatistics at the Harvard T.H. Chan School of Public Health and a Professor of Biostatistics and Computational Biology at the Dana Farber Cancer Institute. For the past 15 years, Dr. Irizarry’s research has focused on the analysis of genomics data.
Michael Love
Michael Love is a postdoctoral fellow with Dr. Irizarry in the Department of Biostatistics at the Dana Farber Cancer Institute and Harvard T.H. Chan School of Public Health.
Requirements
- Basic math
- Basic stats and R programming or PH525.1x
How To Join This Course
- Go to the course website link
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- Choose “Register Now” to get started.
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