MINOR

What You’ll Study

Warren Wilson College’s interdisciplinary data science minor prepares you to organize, analyze, and extract information from large data sets using statistics, computer science, and mathematics. You will learn how to gain insight into complex issues through data analysis, creating predictive models, visualizations, explanations, and connections. Data Science is useful across disciplines: Business, Biology, Psychology, Sociology, Environmental Studies, and even the Humanities. You will find applications for your skills no matter your field.

You’ll use statistics in real-world situations to gain insight into complex datasets, and you’ll learn how to present and discuss your results in a professional context. You will learn the programming languages Python and R, spatial analysis procedures on raster and vector data, database management, topology, model design, 3D modeling, web mapping, and project management. You can then focus your learning through higher level Computer Science or Mathematics courses and gain depth through Advanced Data Science or Geographic Information Systems (GIS) courses.

随着您的研究在数据科学顶点项目中达到顶峰,您将把您的知识和技能应用到现实世界的应用领域。与教师密切合作,您可以使用学术研究创建一个应用程序,完成一个为社区合作伙伴解决问题的项目,或在公司或非营利组织的专业实习中从事一个重要的数据驱动项目。

Explore Classes in This Program

GBL 3250

Advanced Geographic Information Systems (GIS)

In this course, you’ll apply concepts and techniques of geographic information science as you view, manipulate, analyze, and disseminate geographic data. You’ll learn about spatial analysis procedures on raster and vector data, database management, topology, model design, 3D modeling, open source GIS, web mapping, and project management. You’ll design and conduct a significant research project to solve a real-world problem for a non-profit organization.

MAT 1411

Applied Statistics

在这门描述性和推理统计学的入门课程中,您将在现实世界中使用统计学来深入了解复杂的数据集,并将学习如何展示和讨论您的结果。您将使用R开源软件编程语言来学习数据可视化和分析,这是当今市场的行业标准工具。在本课程中,您将探索跨学科的例子,并关注正态分布、x平方分布过程和方差分析(ANOVA)。

MAT 3039

Advanced Topics in Data Science

Using the R programming language, you’ll master advanced methods in data cleansing and visualization, use data analysis to generate hypotheses and intuition about real-world datasets, and employ statistical and computational methods to make predictions based on the data. You’ll become fluent in ways to describe and visualize data in a professional context.

Meet Our Faculty

I love the diverse interests of students, faculty, and staff at Warren Wilson.

Holly Rosson, Ph.D.
Holly Rosson
Holly Rosson, Ph.D.
David Abernathy

Warren Wilson students crave a challenge. I am continually amazed at the enthusiasm with which our students throw themselves into an endeavor, whether it be a physically exhausting service trip or an intellectually stimulating research question. Wilson students tend to say “bring it.”

David Abernathy, Ph.D.
David Abernathy
David Abernathy, Ph.D.
Holly Rosson
Buncombe County map
Fieldwork Profile

Mapping Change

Students and faculty at Warren Wilson contributed a major project for Buncombe County called ‘Mapping Change.’ It used maps to analyze change over a 10-year period of rapid growth in Western North Carolina. The project culminated in an 80-page book, which analyzed the effects of change in terms of land use, demography, water quality, and housing. The data united many different social and ecological problems, illustrating how they connect to one another.

Professor Paul Bartels outlined the findings for the county commissioners in a presentation using maps from the book. Among many other observations, Bartels connected the impact of homes built on steep slopes with sediment erosion, stream pollution, and trout populations. Through Bartels’ presentation to county lawmakers, Warren Wilson students’ work in GIS and Data Science influenced local government.