Competence with statistical programming languages is an essential skill for experimental psychologists. This *free* series provides an advanced, fast-paced introduction to R, with an emphasis on the Tidyverse, and language-based methods. The primary goal is to teach skills (e.g., data cleaning/wrangling) that are beyond the bounds of traditional statistics courses, but are invaluable when it comes to conducting research.
Course Specs:
- Crash Course in R
- R Markdown + ggplot2
- An Introduction to Text Analysis
- Scraping Data From the Web + Twitter
- R Shiny Applications
- Writing Reproducible Code
The course has 6 core topics.
And 3+ bonus topics. [Coming soon!]
- Introduction to Data Cleaning in R [NOW AVAILABLE!]
- Introduction to Data Analysis in R
- [more to be announced]
Every topic has three main components.
- Lecture + R Scripts – Each pre-recorded lecture is ~30-60 minutes, and you can download the R scripts and data associated with each lecture.
- Test Yourself! exercise – Each topic comes with an exercise designed to test/apply the concepts and skills you learned in that topic.
- Related Resources – For every topic, we’ve curated additional resources to help you deepen your understanding and consult when you run into problems.
*As requested, the course will be available until further notice. Please click “Register Here” to obtain the password to the course.
Kirsten Morehouse 