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 (HMGU)
Introduction to Statistics
“Introduction to Statistics” is a foundational course in statistical analysis for scientists and practitioners. This course covers descriptive statistics, classical statistical tests (t-test, Wilcoxon/Mann-Whitney-U test, ANOVA, etc.), and linear regression and its extensions. All methods are explained in an applied setting. By the end of the course you will be able to identify appropriate statistical methods, apply them, and interpret your results.
Prerequisites: Basic skills in programming with R, e.g. "Introduction to R".
A graphical explanation of the differences between the courses “Introduction to R”, “Statistical Models with R” and “Introduction to Statistics” is given here.
More details here.
The course contents are coordinated so we strongly recommend to not miss out on parts of the course. To receive a certificate, we expect full time and active participation. If you have to leave/miss the course for some time, please mention this in advance.
Course Days and Times
Oct 08, 2024, 09:00 am to 05:00 pm
Oct 09, 2024, 09:00 am to 05:00 pm
Oct 15, 2024, 09:00 am to 05:00 pm
Oct 16, 2024, 09:00 am to 05:00 pm
NOTE: Registration opens on September 10, 2024, 12 pm.
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.
