Statistical Analyses with R Online Course

The course is given in four modules covering exploratory data analysis, univariate and multivariate statistical techniques and a final discussion session where students will work and discuss their projects:

• Module I. Programming in R and Rstudio
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• Module II. Exploratory Data Analysis (EDA)
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• Module III. Univariate Statistical Analysis (UniStat)
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• Module IV. Multivariate Statistical Analysis (MultiStat)

This course will cover some advanced issues in most statistical computing workflow for Life Sciences. Together with the statistical analysis, we will cover several aspects of data structure and workspace management, and visualization techniques using R and Rstudio.

Check the full program here

This course is of intermediate level. Some basic knowledge of R and statistics is highly recommended.

Requirements

Basic knowledge of Statistics and R.

All participants must have a computer (Windows, Macintosh, Linux). Webcam and headphones are strongly recommended, as well asa good internet connection.

Contact

[email protected]

English

Online live sessions from Monday to Friday, from 15:00 to 19:00 (Madrid time zone).

The rest of the time will be taught with exercises, to be done by the participants between the live sessions.

26 hours

This course is equivalent to 1 ECTS (European Credit Transfer System) at the Life Science Zurich Graduate School.

The recognition of ECTS by other institutions depends on each university or school.

Places are limited to18 participants and will be occupied by strict registration order.

Participants who have completed the course will receive a certificate at the end of it.

InstructorDr. Antonio Canepa

OneMind

Spain

Coordinator Dr. Haris Saslis

Transmitting Science

Greece