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)
Introduction to R
“Introduction to R” provides a foundation for coding with the statistical programming language R. The course is designed for applied researchers with no previous programming skills. In this course, you will learn the basics of coding in R. In particular, you will learn how to read and manipulate datasets. These skills are necessary for performing any subsequent statistical analyses in R. This course does not require any previous knowledge of statistics or programming.
Topics:
This introductory course in R covers basic data structures and routines:
- Assigning objects
- Vectors, Matrices
- Data sets
- Basic plots (using ggplot2)
- Basic functions
Application of statistical methods will be covered in the course Introduction to Statistics.
Methods:
The course consists of lessons how to use R and of hands-on examples with best-practice solutions.
Learning Goals
1. Understand Basic R Syntax
- Assign values to objects and differentiate between data types (e.g., numeric, character, logical).
- Identify and use basic R data structures, such as vectors, and data frames.
2. Load and Understand Data Structures
- Import different kind of data sets (e.g. csv, xlsx, …).
- Inspect datasets using R functions.
3. Manipulate and Summarize Datasets
- Use indexing and subsetting to filter, select, and sort data.
- Run standard functions to summarize data.
4. Create Basic Plots
- Generate simple visualizations (e.g. scatter plots, bar charts) with ggplot2.
- Generate first ideas to customize plots with titles, labels, and colors to enhance readability.
5. Become Confident at Coding with R
- Write and run basic R scripts for data manipulation and visualization.
- Identify and troubleshoot common coding errors in R.
Prerequisites
No prior knowledge needed.
Target Group
People with no or limited knowledge in programming with R.
Course Days & Times
Feb 6, 2025, 9 am - 5 pm
Feb 7, 2025, 9 am - 5 pm
NOTE: Registration will open January 09, 2025, 12 pm.
Attendance & Certificates
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.
Registration & Cancellation
This course is open to individuals affiliated with Helmholtz or a HIDA Partner only. You may register for the course allocating yourself to one of the following groups:
- All Helmholtz affiliations
- Helmholtz Information & Data Science School (HIDSS) affiliation
- HIDA Partner affiliation
Please note that after the first two weeks of the registration period the unbooked seats from categories 2 and 3 will be opened for all Helmholtz affiliations (category 1).
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 via hida-courses@helmholtz.de.
If you have to cancel the course for any reason, please do so as soon as possible to allow time for others to take your seat. To cancel, please withdraw your registration on the course site or write an email to hida-courses@helmholtz.de.
Additional Information
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 fully booked 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.
