Statistics and R offered by Harvard University
- Private University
3 Campuses- Estd. 1636
Statistics and R at Harvard University Overview
Statistics and R
at Harvard University
An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.
Duration | 4 weeks |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Go to Website  |
Course Level | UG Certificate |
Statistics and R at Harvard University Highlights
Statistics and R
at Harvard University
- Earn a certificate of completion
Statistics and R at Harvard University Course details
Statistics and R
at Harvard University
Skills you will learn
What are the course deliverables?
- Random variables
- Distributions
- Inference: p-values and confidence intervals
- Exploratory Data Analysis
- Non-parametric statistics
More about this course
- 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. 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.
- 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. Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts.
Statistics and R at Harvard University Curriculum
Statistics and R
at Harvard University
Data Science, Data Analysis, R, Biology
Statistics and R at Harvard University Faculty details
Statistics and R
at Harvard University
Rafael Irizarry
Designation : Professor of Biostatistics, T.H. Chan School of Public Health
Michael Love
Designation : Assistant Professor, Departments of Biostatistics and Genetics, UNC Gillings School of Global Public Health
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Statistics and R at Harvard University Contact Information
Statistics and R
at Harvard University
Address
1350 Massachusetts Ave, Cambridge, Massachusetts 02138, USA
Cambridge ( Massachusetts)
Phone
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