Table of Contents
In person
Workshop 1
12/1 3:30-5:30pm
Workshop 2
12/12 4:00-6:00pm
Workshop 1 Description- Data Science and analysis Using R Programming
The workshop will show teachers how to program in R studio to analyze data for science investigations.
-Teachers will use R studio and r notebooks to import data sets, create visuals, conduct statistical methods such as T-Tests, correlation analysis and more.
Workshop 2- Description - Data science projects- We will work together on our own data science project that we can transfer to our students. Teachers will choose an open data set and pose some questions that they will try to answer using r programming. We will then create a template our students can learn from.
Please contact Fred Feraco for details fferaco@shufsd.org. Bring a personal chrome book or laptop.
Below are links below tocreate a free r studio cloud account or to download r studio onto your device
R Studio Cloud https://login.rstudio.cloud/
Rstudio https://posit.co/download/rstudio-desktop/
This is a great website for learning Data science, finding data sets and exploring analysis!
Go to https://www.kaggle.com/ and make a free account.
Open this link after you have made a free account at Kaggle. https://www.kaggle.com/code/feraco/r-workshop
This is a simple way to choose your analysis method
https://sites.google.com/shufsd.org/feracoscienceresearch/stats-1
This is a great tutorial for ecology analsysis https://datacarpentry.org/R-ecology-lesson/index.html
Use this space to show useful examples of how a project can be used. Additional screenshots, code examples and demos work well in this space. You may also link to more resources.
For more examples, please refer to the Documentation
A Web app software program that makes working in R easier
https://vnijs.shinyapps.io/radiant/?SSUID=da20c33bd3
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Distributed under the MIT License. See LICENSE.txt for more information.
Frederick Feraco - - Frederick.feraco@gmail.com Project Link: https://github.com/feraco/R-workshop
Use this space to list resources you find helpful and would like to give credit to. I've included a few of my favorites to kick things off!