Tag Archives: bootcamp

Data Visualization (Without Coding)

This is the second bootcamp in The Center for Analytics and Data Science Faculty Fellow Bootcamp Series

Register Now!
Photo of Shenyue Jia
Shenyue Jia

Join Shenyue Jia, Center for Analytics and Data Science Faculty Fellow and assistant professor of Geography, as she leads an activity-based bootcamp about data visualization in various platforms and the usage of GitHub for non-coders.

Over a three day bootcamp about data visualization and GitHub, Jia will help the audience take their knowledge of data visualization and apply it in multiple platforms, such as: Excel, Google Sheets, DataWrapper, and Tableau. She will teach the audience how to use GitHub for maintaining a project portfolio.

  • 4/18: Data visualization in Excel, Google Sheets, and DataWrapper. Part one of a GitHub mini-lesson for non-coders
  • 4/25: Part two of a GitHub mini-lesson for non-coders. Beginners Guide for Tableau.
  • 5/2: Beginners Guide for Tableau continues. Uploading bootcamp project to GitHub.

This entry in the CADS Faculty Fellow Bootcamp Series presumes basic knowledge of data visualization. Due to the interactive elements of this bootcamp, please bring your laptop.

Bootcamp horizontal flyer that displays the name of the workshop

The Center for Analytics and Data Science is proud to be able to bring unique views into the arena of data science through its Faculty Fellow program.  Thanks to the wide variety of talent offered by these gifted academics, CADS is able to provide examples of data science principles as they apply to the research of an array of disciplines.  We thank all of our Faculty Fellows for their hard work and willingness to share.

If you have a topic that you would like to see covered as part of the Faculty Fellows Bootcamp Series, or any other question please contact the Center for Analytics and Data Science at cads@miamioh.edu

Social Network Analysis in R

The Center for Analytics and Data Science Faculty Fellow Bootcamp Series is kicking off for Spring Semester.

Register Now
Photo of Kevin Reuning
Kevin Reuning

Join Kevin Reuning, Center for Analytics and Data Science Faculty Fellow and assistant professor in Political Science, as he leads an activity-driven exploration of the (sometimes hidden) connections that link us as a society.

Over three consecutive Wednesday evenings in McVey 168, Reuning will help the audience take their knowledge of R and data analysis as it pertains to more traditional data sets and apply it to the interconnected web that is the foundation of a social networking modelling.

  • March 6th: Introduction to network terminology and data
  • March 13th: Visualizing networks
  • March 20th: Calculating basic network statistics

This entry in the CADS Faculty Fellow Boot Camp Series presumes at least some level of R proficiency and working knowledge of basic data analysis principles.  Due to the interactive nature of the exploration, please bring your laptop.

The Center for Analytics and Data Science is proud to be able to bring unique views into the arena of data science through its Faculty Fellow program.  Thanks to the wide variety of talent offered by these gifted academics, CADS is able to provide examples of data science principles as they apply to the research of an array of disciplines.  We thank all of our Faculty Fellows for their hard work and willingness to share.

If you have a topic that you would like to see covered as part of the Faculty Fellows Bootcamp Series, or any other question please contact the Center for Analytics and Data Science at cads@miamioh.edu