Author Archives: elliotl9

Software Engineering Needs Philosophy Majors

Artificial intelligence is expected to take over coding. This means that engineers with expertise in English, psychology and philosophy are highly valued for their critical thinking and communication skills. (Cantor 2024)

In the Harvard Business Review, Marco Argenti, Chief Information Officer at Goldman Sachs, made this argument. Argenti told his daughter that if she wanted to be an engineer, she needed to focus on learning philosophy. He wrote, “Coming from an engineer, that might seem counterintuitive, but the ability to develop crisp mental models around the problems you want to solve and understanding the why before you start working on the how is an increasingly critical skillset, especially in the age of AI.”

AI will start taking over the brunt work of coding and software engineers will need to be able to prove that they are still needed. Knowing how to ask the right questions and think outside the box will be important skills for the upcoming generation of software engineers. Creativity is one of the most important skills people can have.

Cantor, Melissa. ‘Goldman Wants Philosophy Majors.’, LinkedIn News, 22 Apr. 2024,

Concluding DataFest 2024

DataFest 2024 Logo

The Center for Analytics and Data Science is happy to announce a close to this DataFest season. DataFest’24 was made possible by our sponsors Benchmark Gensuite and Fifth Third Banking.

Overall there were 80 participants from six different schools who competed this year. We would like to thank students for attending from the following schools:

  • Miami University
  • BGSU
  • College of Wooster
  • Xavier University
  • University of Cincinnati
  • Capital University

Winning Teams

Teams were ranked using a score based system. The winning teams were:

  • Top Score: Data-Holic Redhawks
  • Best Insight: Drake’s DataFesters
  • Best Visualization: The Derivative Falcons

Data Visualization (Without Coding)

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

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