By Dr. Jerome Roehm, Assistant Professor of Mathematics and Data Analytics
Healthcare today is powered by data.
From patient outcomes and hospital quality metrics to public health trends and resource planning, data is everywhere. But data alone is not enough. What matters is being able to interpret it clearly, communicate it responsibly, and use it to make informed decisions.
That is exactly what MTH-120: Introduction to Data Through Visualization is designed to do.
This course offers an accessible, engaging introduction to statistical thinking through modern visualization tools, with a focus on skills that working professionals can apply immediately.
Why Data Visualization Matters in Modern Healthcare
Healthcare professionals make decisions in environments where information must be communicated quickly and clearly. Visualization plays a central role in:
- identifying patterns in patient outcomes
- monitoring safety and quality measures
- communicating trends to colleagues and stakeholders
- supporting evidence-based practice
- recognizing when data is being presented in misleading ways
MTH-120 introduces students to statistical thinking and data analytics through the use of visualization software, making it a valuable foundation for anyone working in healthcare settings.
An Entry Point Into the Data Side of Healthcare
Many adults return to school with some hesitation about math or statistics. This course is intentionally structured to remove that barrier.
There are no prerequisites, and no advanced background is assumed.
Rather than focusing on formulas, the emphasis is on developing comfort with questions like:
- What does this dataset actually represent?
- What patterns are meaningful?
- What conclusions are supported by the evidence?
- How can results be communicated clearly to others?
For healthcare professionals, this kind of thinking is directly relevant to everyday practice.
Turning Raw Data Into Insight
By the end of the course, students will be able to:
- manipulate and clean spreadsheet data
- create visualizations for a variety of data types
- communicate the meaning of visualizations
- explain key characteristics of a dataset
These are practical skills that translate naturally into healthcare contexts, such as:
- summarizing patient survey results
- visualizing trends in readmissions
- comparing outcomes across demographic groups
- presenting findings in clear, digestible manor
Tools That Transfer Beyond the Classroom
The course uses widely accessible platforms:
- Google Sheets for data cleaning, summaries, pivot tables, and quick visualizations
- Tableau Public for visualizations, dashboards, and interactive storytelling
The goal is not just procedural fluency, but transferable understanding. Students learn the underlying principles of effective visualization—skills that apply equally well to Excel, Power BI, or professional analytics systems used in healthcare organizations.
Learning Through Real, Engaging Datasets
Data visualization becomes meaningful when it helps answer real questions.
Students explore many datasets such as movie ratings and penguins in Antarctica. The very first dataset analyzed in class is Titanic passenger survival data where we examine how factors like sex and class influenced outcomes.
This same approach applies naturally to healthcare:
- Who is most at risk?
- Which variables matter most?
- How do outcomes differ across populations?
Visualization helps us move from raw numbers to real understanding.
A Final Project That Builds Confidence and Communication Skills
The course culminates in a final project where students choose their own dataset and create a video presentation supported by visualizations and dashboard-style storytelling.
For working professionals, this can become a portfolio-ready demonstration of analytical and communication ability—skills increasingly valued across healthcare roles.
Why Choose MTH-120 Through Doane’s Online Learning Academy?
Doane’s Online Learning Academy is designed for adult learners balancing work, family, and career goals.
MTH-120 is:
- fully online and asynchronous
- beginner-friendly and engaging
- focused on practical data skills
- centered on communication, interpretation, and transferable thinking
If you work in healthcare and want to feel more confident interpreting and presenting data, this course is an excellent next step.
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