Introduction to Linear Models and Matrix Algebra
2-4 hours per week • Start today
Individual Course
Statistics and R
Course Length
4 weeks
2-4 hours per week
Featuring faculty from:
Harvard T.H. Chan School of Public Health
Enroll as Individual
Certificate Price:
$ 219
Enroll as Individual
Certificate Price:
$ 219
An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.
This course teaches the R programming language in the context of statistical data and statistical analysis in the life sciences.
We will learn the basics of statistical inference in order to understand and compute p-values and confidence intervals, all while analyzing data with R code. We provide R programming examples in a way that will help make the connection between concepts and implementation. Problem sets requiring R programming will be used to test understanding and ability to implement basic data analyses. We will use visualization techniques to explore new data sets and determine the most appropriate approach. We will describe robust statistical techniques as alternatives when data do not fit assumptions required by the standard approaches. By using R scripts to analyze data, you will learn the basics of conducting reproducible research.
The course will be delivered via edX and connect learners around the world.
Self-Guided
edX
- Learning Outcome
Understand random variables
- Learning Outcome
Learn distributions
- Learning Outcome
Understand exploratory Data Analysis
- Learn from Harvard faculty
- Do it on your own time
- Get a certificate, add it to your resume
- Be part of the Harvard Community
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
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.
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.
Stay tuned for more
Don’t miss a thing. Subscribe to our newsletter and get updates on exclusive content for Harvard Online learners.