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Program Overview

Want to turn numbers into knowledge? The Data Analytics minor at Agnes Scott gives you the tools to unlock insights and stand out in any field.

With hands-on learning, cross-disciplinary applications, and instruction in high-demand tools like Python, R, and SQL, students graduate ready to solve real-world problems and communicate data-driven solutions across industries.

The data analytics minor will introduce students to the basics of data science and equip them with skills for data analysis. Students will be able to use data analytics tools to interpret, analyze, and visualize data in order to draw conclusions and effectively communicate their conclusions. There is a need in the workforce for employees with data skills, including the ability to use SQL, analyze data with R or Python, interpret results from statistical analyses, and communicate key takeaways for non-expert audiences. Having a broad liberal arts education with data analytics skills positions students well for careers that require communicating data analyses and performing data analysis in fields such as biology, public health, chemistry, political science, and economics. In the data analytics program, students will study descriptive and inferential statistics, be introduced to data analytics tools and programming languages, including SQL, Python, and R, and apply their skills to perform data analysis in the social, natural, or physical sciences.

two students sit at a computer editing data

What You'll Learn

This minor is designed to complement your major at Agnes Scott. The program introduces statistical and programming skills, along with opportunities to apply your skills to real-world datasets in your field of study.

  • Learn the foundations and theory of data analytics including applying descriptive and inferential statistics.
  • Develop data analytics software skills to apply data analysis techniques to manipulate, aggregate, transform and analyze data.
  • Learn how to help data tell a story, use data to drive decision making, and communicate statistical trends and insights to a broad audience.
  • Gain hands-on experience applying data analysis in fields such as public health, economics, political science and biology.

Program Highlights

Programming Foundations

An introduction to widely used programming languages to clean, analyze and visualize data

Applied Analytics

Hands-on experience applying data analysis in economics, public health, chemistry, political science, psychology and other scientific fields using real-world data.

Data Theory

Exploration into the theoretical foundations of data analytics, including logic, ethics, and the mathematics behind data.

Meet the Faculty

Erin Bradley

Erin Bradley

Linda Lentz Hubert Associate Professor of Public Health

Alan Koch

Alan Koch

Professor of Mathematics

Li Qi

Li Qi

Hal and Julia T. Smith Chair of Free Enterprise

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Bella Tobin

Assistant Professor of Mathematics

Jim Wiseman

Professor of Mathematics

Working in Data Analytics

Data analytics skills open doors across industries that rely on interpreting and communicating data to drive informed decisions.

With a foundation in programming, statistics, and real-world application across disciplines, students trained in data analytics are equipped to tackle pressing questions in business, health, science, government, and beyond.

  • Data Analyst
  • Public Health Researcher
  • Business Intelligence Specialist
  • Policy Analyst
  • Marketing Strategist
  • UX Researcher

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