Introduction to Statistics

Course description

Requirements:

Basic skills in programming with R (can be achieved in the course Introduction to R).

Your profit:

This introductory course combines an overview of basic statistical methods with their application in the statistical software R. Participants will learn how to start with their data analysis and interpret their results in a meaningful way. This course does not require any previous knowledge of statistics.

Topics:

The course covers basic statistical methods

  • Descriptive statistics
  • Hypothesis testing
  • Linear regression
  • ANOVA
  • Application of these methods using R

This is no introductory programming course. Basic programming skills in R are a prerequisite of this course and can be achieved with the course  Introduction to R.


Methods:

  • Each day consists of blocks covering first the statistical theory behind the methods and their application in R, and then hands-on examples with best-practice solutions.
  • This course will be offered either on campus (in person), or online. The dates of online and on campus courses are indicated in the table here.
  • For on campus courses please check the restrictions and hygiene rules described here*.
  • For online courses we use the software Zoom, for further information, please check the description here here*.

Duration: 4 Days

Language: English

Materials:

  • Material for the course can be found here* .
  • Please install the necessary R-packages prior to the course. The packages are listed in "Material_Statistics.html" which is part of the linked ZIP-folder.
  • Please be aware that the materials will be updated shortly before the next course.

Dates and Application:

 

 * Links marked with * are only available for HMGU staff.