sponsored by Helmholtz Information & Data Science Academy (HIDA)
in cooperation with Core Facility Statistical Consulting at Helmholtz Zentrum München - German Research Center for Environmental Health (Helmholtz Munich)
Statistical Models with R
The programming course “Statistical Models with R” adds to the content learnt in the “Introduction to R” course. In this course, we will discuss how to apply classical statistical methods (t-test, linear regression, ANOVA …) in R. Short explanations on how to implement statistical methods in R are combined with hands-on exercise sessions.
Please notice that it is a programming course, no explicit explanations on the statistical methods will be discussed. We expect participants to be familiar with statistical theory on hypothesis tests and linear regression. In this course we focus on the how to code statistical models. For more explicit explanations on statistics (theory and when to apply which method), please consider joining the course “Introduction to Statistics” instead.
A graphical explanation of the differences between the courses “Introduction to R”, “Statistical Models with R” and “Introduction to Statistics” is given here.
Prerequisites: Programming skills with R, e.g. course “Introduction to R” and basic theoretical statistical knowledge.
More details here.
Course Days and Times
Feb 9, 2024, 9 am - 5 pm
NOTE: Registration will open January 11th, 12pm.
Additional Information
The course content is coordinated, so we strongly recommend that you do not miss any part of the course. To receive a certificate we expect full time and active participation.
Your registration for this course is binding. If you need to leave/miss the course for a period of time, please let us know in advance.
There is no waiting list for this course! If someone withdraws from a course, their place is automatically reopened. We therefore advise you to keep an eye on the registration in case the course is full and you would like to attend. Also, this course will be offered again in the future - you can check our HIDA Course Catalog for updates.
This course is free of charge.
