All undergraduate students, graduate students, and postdocs are welcome to register for this workshop. CSoI member students will be given priority registration. No training in Computer Science or expertise in any particular area is needed. Students from all data-driven disciplines are welcome. We will send some pre-workshop training materials for students to complete during the weeks before the workshop starts, so that all students start the workshop with a comparable level of experience.
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.
Central to the diversity mission of the Center is providing opportunities to women and other underrepresented groups including U.S. citizens, nationals, permanent residents. The spirit of this workshop is to bring together students and postdocs from multiple fields to lower barriers for understanding the language and approaches across multiple disciplines and data science.