MethodsNET is pleased to announce that Course: Introduction to R has officially transitioned to a fully virtual format.
Led by Dr. Daniel Kovárek, this comprehensive course is explicitly designed for researchers, academics, and professionals with no prior programming background. By transitioning online, you can now master essential data skills, from importing and data cleaning to advanced data visualization using ggplot2 and reproducible reporting with R Markdown, from anywhere in the world.
Join our global, pluralistic network of peers this term to elevate your empirical research through a collaborative, hands-on, learning-by-doing approach.
Special On-Campus Option in Vienna:
If you are located in or travelling to Vienna during the course dates, MethodsNET invites you to attend the virtual classes directly from the Central European University (CEU) campus. Take advantage of CEU’s world-class facilities, study alongside fellow researchers in a dedicated space, and experience the networking benefits of a traditional methods school.
Join our global, pluralistic network of peers this term to elevate your empirical research through a collaborative, hands-on, learning-by-doing approach.
Key Course Details:
- Instructor: Dr. Daniel Kovárek
- Format: 100% Online (With optional physical co-learning space at CEU Vienna)
- Target Audience: PhD Students, Postdocs, and Social Science Researchers (No prior coding experience required)
- Core Skills Covered: Data wrangling, hypothesis testing, OLS regression diagnostics, Tidyverse, ggplot2, and RMarkdown workflow.