Introduction to R – ONLINE

Introduction to R – ONLINE

  • 23/11/2020 - 27/11/2020
    2:00 pm - 5:00 pm

Course details

statistics course | level: beginner | register now
affiliation: KU Leuven


Abstract

!!! IMPORTANT !!!
This course will be offered ONLINE.

This course gives an introduction to the use of the statistical software language R. R is a language for data analysis
and graphics. In 15 hours, you’ll learn the basics of R. This is a hands-on course with practical assignments.
The course includes:
- An introduction to the software package R
- Different data structures in R
- Importing data in R
- Writing your own functions
- Making basic graphics in R
- Performing some basic descriptive analysis in R
- Performing some basic inference tests in R (i.e., testing independence, proportions, t-tests, regression analysis)
- At the end of the course you should be able to start and perform an analysis by yourself and, if you need
something fancy, find out where to get help.

IMPORTANT REMARK:
In this course, you will find a mix of R basic programming and basic statistics. If you wish to follow a course
completely devoted only on programming in R, this is not the course for you. Indeed, we will spend some time on
how to conduct basic statistical analysis and inference. HOWEVER, this will be done only in short overviews: if you
wish to have a formal training in statistical techniques, this is not the course for you.

The R basic packages will be explained and used.

R is for free and for more information you can visit the site https://cran.r-project.org for installation. It is also
recommended to install RStudio (for free) at https://www.rstudio.com.

Dates:
November 23, 2020: 14:00 - 17h00
November 24, 2020: 14:00 - 17h00
November 25, 2020: 14:00 - 17h00
November 26, 2020: 14:00 - 17h00
November 27, 2020: 14:00 - 17h00


Prerequisites

There are no prerequisites in terms of coding experience, but previous knowledge about basic mathematical and statistical principles (e.g., vectors, descriptive statistics) is recommended for the introduction in statistical techniques.


Background readings


Fee

PhDs and postdocs of a Flemish university: 0 €
Other academics: 150 €
Non-profit/Social sector: 250 €
Private sector: 500 €


Venue

The course is offered ONLINE.


Instructor

Cristina Cametti


Sign up (price ticket depends on affiliation)

You will receive payment details later from the organiser by email.
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