Educational Data Analytics Using R: A free, self-paced resource!
By Louis Rocconi, Ph.D. and Joshua Rosenberg, Ph.D.
Do you work in an educational setting? Do you love using data? Do you want to learn how to use R to analyze data? If you answered yes to any of these, then we invite you to check out our new resources on Educational Data Analytics Using R.
This resource includes materials for a future microcredential to be offered through the University of Tennessee. This post includes links to the freely-available resources. If you are interested in receiving information on the microcredential when it is available, please complete this form: https://forms.gle/aCUDpbL5nsasjJC77.
Unlock the Power of Educational Data Analytics with R!
We are excited to introduce our new, self-paced, free online resource, Getting Started in Educational Data Analytics Using R.
This resource is designed to equip educational professionals with the skills needed to analyze educational data using R. Whether you are a K-12 or higher education administrator, a classroom teacher seeking to make use of their students’ data, or simply someone interested in data analytics, we hope to provide you with a solid introduction to R and its applications in educational contexts.
Who is this for?
This resource is designed for:
- K-12 and higher education leaders and analysts looking to enhance their data analysis capabilities.
- Teachers and professors interested in making sense of their students’ data or interested in teaching students to analyze data
- Undergraduate and graduate students at UTK and beyond who are interested in learning R and data analytics.
- Anyone seeking an introduction to data analytics, R, and its applications in education.
No Prior Knowledge Required
We assume no prior knowledge of programming or statistics knowledge, making it accessible to everyone.
What can you expect?
- Online, Free, Self-Paced Format: Learn at your own pace, whenever and wherever it suits you.
- Interactive Modules: Each module is packed with:
- Code-along Projects: Hands-on learning with step-by-step guides.
- Formative Assessments: Quizzes and activities to reinforce your understanding.
- Engaging Content: Informative and enjoyable modules designed to keep you motivated.
- Learn on the go: Access the modules on your phone, tablet, or computer.
How do I get started?
To get started, visit our homepage or use the following links to access the individual models:
- Introduction to R: Get started with R: https://ed-analytics.shinyapps.io/0-1-getting-started/
- Foundational Skills: Build your foundational skills in R: https://ed-analytics.shinyapps.io/1-1-foundational-skills/
- Nuts and Bolts: Learn the nuts and bolts of R (i.e., data types, data structures, indexing): https://ed-analytics.shinyapps.io/1-2-nuts-and-bolts/
- Data Wrangling: Master the art of data wrangling: https://ed-analytics.shinyapps.io/2-1-data-wrangling/
- Tidy Data: Learn the basic principles of tidy data: https://ed-analytics.shinyapps.io/2-2-tidy-data/
- Descriptive Statistics: Learn about descriptive statistics: https://ed-analytics.shinyapps.io/3-1-stats-terms/
- We hope you can join us on this exciting journey and unlock the potential of educational data analytics with R! If you have any questions or suggestions for improvement, please email Dr. Rocconi. We are always looking for ways to improve! For additional resources to get started using R, see the following.
- Additional R Resources
- To expand your knowledge of R, here are some other excellent resources:
- R for Data Science by Garrett Grolemund and Hadley Wickham: A comprehensive guide to data science with R.
- Hands-on Programming with R by Garrett Grolemund: A practical, hands-on approach to learning R.
- RStudio Education: Beginner-friendly tutorials and resources.
- DataCamp’s Introduction to R: An interactive course to get you started with R.
- R Programming for Beginners: A YouTube tutorial by edureka! covering the basics of R.
- GeeksforGeeks R Tutorial: A detailed introduction to R programming.