Statistics and R
2-4 hours per week • Start today
Individual Course
Introduction to Linear Models and Matrix Algebra
Course Length
4 weeks
2-4 hours per week
Featuring faculty from:
Harvard T.H. Chan School of Public Health
Enroll as Individual
Price:
$ 219
Enroll as Individual
Price:
$ 219
Learn to use R programming to apply linear models to analyze data in life sciences.
Matrix Algebra underlies many of the current tools for experimental design and the analysis of high-dimensional data. In this introductory online course in data analysis, we will use matrix algebra to represent the linear models that commonly used to model differences between experimental units. We perform statistical inference on these differences. Throughout the course we will use the R programming language to perform matrix operations.
The course will be delivered via edX and connect learners around the world.
Prerequisites
Basic math OR Basic stats and R programming
Self-Guided
edX
- Learning Outcome
Learn Matrix algebra notations and operations
- Learning Outcome
Explore the application of matrix algebra to data analysis
- Learning Outcome
Get a brief introduction to the QR decomposition
- Learn from Harvard faculty
- Do it on your own time
- Get a certificate, add it to your resume
- Be part of the Harvard Community
Faculty
Your Instructor
Michael Love
Assistant Professor, UNC Gillings School of Global Public Health
Dr. Love received his bachelor’s in mathematics in 2005 from Stanford University, his master’s in statistics in 2010 from Stanford University, and his Ph.D. in Computational Biology in 2013 from the Freie Universität Berlin.
Your Instructor
Rafael Irizarry
Professor of Biostatistics, Harvard T.H. Chan School of Public Health
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. During this time, he has also taught several classes, all related to applied statistics. Dr. Irizarry is one of the founders of the Bioconductor Project, an open source and open development software project for the analysis of genomic data. His publications related to these topics have been highly cited and his software implementations widely downloaded.
Read full bio.
Complete your journey with this Professional Certificate Series
Complete your journey with this Professional Certificate Series These courses can be bundled together to receive a professional certificate at a discounted price.
Learn More- 4 Courses
- 4 Months
- Earn Your Certificate
Statistical Inference and Modeling for High-throughput Experiments
2-4 hours per week • Start today
High-Dimensional Data Analysis
2-4 hours per week • Start today
Ways to take this course
Audit or Pursue a Verified Certificate
A Verified Certificate costs $219 and provides unlimited access to full course materials, activities, tests, and forums. At the end of the course, learners who earn a passing grade can receive a certificate.
Alternatively, learners can Audit the course for free and have access to select course material, activities, tests, and forums. Please note that this track does not offer a certificate for learners who earn a passing grade.
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