Data Science: Foundations of Data Science
About the program
This course provides an introduction to the foundational concepts and skills that make up the data science pipeline, emphasizing the Virginia Model of Data Science as a guiding framework. Students will learn to think like a data scientist by engaging in lectures, group discussions, and hands-on labs that emphasize evidence-based reasoning and analytical problem solving.
A key component of this learning process is exposure to how machine learning models are trained and used. We will expose students to introductory topics necessary to understand how machine learning models work and how to evaluate their effectiveness. By the end of the course, students will have built and evaluated models of their own, applying them to real-world problems to draw meaningful conclusions.
Important Note: The price listed reflects early-bird pricing and will change on Sunday, March 1.
This is an in-person course that meets daily Monday-Friday in Fairfax, 9AM – 4PM ET. Tuition covers materials, meals (lunch/snacks), and transportation to any off-site excursions.
Inspire Spotlights
Faculty
Click the photos below to learn more about each faculty member.
Skills you will learn
- Explain the components of a computer system and how they interact to support data science work.
- Create and interpret data representations using models, databases, graphics, and visualizations.
- Define and manipulate introductory machine learning models.
- Understand how ethics interacts with Data Science and its impact on society.
Out of the classroom
- Each Friday Field trip is specific to the class and aimed at bringing the learning alive.
- Get out of the classroom and visit local companies.
Please note: All information is subject to change at the discretion of UVA Northern Virginia.