Higher Education
We partner with faculty and academic programs to strengthen data education through collaborative curriculum design, applied learning experiences, and sustained instructional partnerships.
We design learning experiences that extend beyond the classroom, helping students connect statistical reasoning, data storytelling, and emerging technologies to the decisions they'll make in their professional lives.
Course Augmentation
Enhance existing courses through applied assignments, assessments, and activities that connect learning to real-world challenges.
Faculty Design Partnerships
Collaborate with faculty to strengthen course design, align learning objectives, and develop plans for future course iterations.
Workshops
Engage students and trainees through interactive data learning experiences grounded in practice, discussion, and reflection.
Academic Consultations
Receive tailored guidance on data education, applied statistics, and learning design for educators, researchers, and graduate learners.
Featured Academic Partnerships
Areas of Expertise
Data Storytelling & Communication
Visualizations, audience-centered narratives, and effective communication of data insights.
Career-Connected Data Learning
Learning experiences that connect data skills with professional roles and career pathways.
Applied Statistics & Data Literacy
Statistical reasoning, data interpretation, and practical analytical skills.
Data Science Project Design
Applied projects that develop analytical thinking, collaboration, and problem-solving.
“Her session, ‘Uncovering Data Insights,’ was phenomenal and relevant for our particular group of students. She was engaging, well-prepared, and organized. The session was informative and inspirational.”
- Kelly Knight, Director of STEM FOCUS Program
George Mason University
Let's Strengthen Data Education Together
Have a course to strengthen, a curriculum to develop, or a new idea to explore?
Tell us what you're envisioning. We'd love to explore how Rose Data Studio can support your academic goals.