Registration deadline: April 28th.
There still have a few seats open for undergraduate U.S. citizens/permanent residents to attend.
Please apply on the website. If you have questions, please contact:
Kelly Andronicos, Director of Diversity at email@example.com
The intended audience for the workshop are students at all levels who have not (yet) delved into a data science experience, but want to begin working in this area. As an outcome of this experience, students will be acquainted with several tools for data analysis.
We will introduce participants to some of the first principles and concepts from data analysis. Students who complete the workshop will learn several technologies, including skills for data wrangling and data visualization. We will utilize the R platform for data analysis, and will discuss strategies for reproducible research. As time permits, we will discuss how to use R to interact with SQL databases, how to scrape and parse XML code, and how to utilize techniques of data visualization.
All of the topics will be offered in team-oriented projects. We will choose several sources of data, so that the workshop will have an interdisciplinary appeal. This enables students to develop a sense of community and confidence about introductory topics in data analysis.
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