Participants are free to use any software or platforms of their choice during the event. At past DataFests, students have worked with R, Python, SQL, SPSS, Microsoft Excel, Google Sheets, Power BI, Looker Studio, Qlik Sense, and Tableau. While our main workshops focus on R and Python due to volunteer availability, we are happy to arrange sessions on other tools if there’s interest. Please let us know if you’d like a workshop on a different software or platform.
Data Analysis and Visualization with Python, Matt Bellis
12:40 – 1:30 (free period) Wednesday, April 8, Roger Bacon 328 Lunch will be provided
This workshop will cover the following topics.
- Reading in and exploring data with pandas
- Plotting with matplotlib and seaborn
- Correlation coefficients and Linear regression
- Decision trees and neural networks (this will be an introduction on how to use it, but not the theory)
Intro to R, Travis Brodbeck
12:40 – 1:30 (free period) Thursday, April 9, Roger Bacon 328 Lunch will be provided
There is always an information need. Whether it is a policy maker, a politician, an organization, or the average person, we are all looking for cues and clues to help us make decisions. Whether that decision is at the ballot box or the grocery store, polling is a way to learn about the opinions, attitudes, and behaviors of people. This session will explore the vastness of analyzing public opinion data to explore the trends below the headlines.