Master data visualization for healthcare: Learn effective design, analysis, and storytelling techniques.
Master data visualization for healthcare: Learn effective design, analysis, and storytelling techniques.
This course introduces processes and design principles for creating meaningful displays of healthcare information to support effective business decision-making. Students will learn to collect and process data, create both static and interactive visualizations, and use them to provide insights into healthcare problems, situations, or opportunities. The course covers methods to critique visualizations, explore what makes a visualization effective, and discusses the challenges of making data understandable across diverse audiences. It emphasizes the fundamentals of communication required for effective data storytelling in healthcare contexts. Topics include ethical uses of information displays, storytelling techniques, infographics, and immersive visualizations. Students will have the opportunity to use one or more software tools, including Tableau, to apply their learning in practical scenarios.
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Instructors:
English
What you'll learn
Develop skills in planning and mapping out data stories for healthcare contexts
Master exploratory data analysis techniques for healthcare information
Learn to create effective and persuasive data visualizations using Tableau
Understand the principles of visual perception and their application in healthcare data design
Apply contrast techniques to highlight key insights in healthcare data
Develop the ability to communicate clear meaning through data visualizations
Skills you'll gain
This course includes:
1 Hours PreRecorded video
4 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This course provides a comprehensive introduction to healthcare information design and visualization. Students will learn the fundamentals of creating effective data stories in healthcare contexts, from planning and exploratory data analysis to crafting polished visualizations. The curriculum covers key concepts such as visual perception, contrast in data visualization, and communicating clear meaning through data. Practical skills in using Tableau for healthcare data visualization are developed throughout the course. Students will work on real-world projects, including a case study with Divvy Bikes, to apply their learning. The course emphasizes both the technical aspects of data visualization and the critical thinking skills needed to create impactful data stories in healthcare settings.
Planning Your Data Story
Module 1 · 5 Hours to complete
Exploratory Data Analysis
Module 2 · 5 Hours to complete
Creating Visualizations
Module 3 · 5 Hours to complete
Communicating Meaning Through Data
Module 4 · 4 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Adjunct Instructor of Business Administration
Kevin Hartman is an accomplished professional in the field of business analytics and digital marketing, currently serving as the Head of Analytics for the Consumer, Government, and Entertainment sectors at Google since 2015. He holds an MBA from the University of Chicago, earned in 1998, and has extensive teaching experience as an adjunct instructor at both the University of Illinois at Urbana-Champaign and the University of Notre Dame Mendoza College of Business. His teaching focuses on courses such as Digital Marketing Analytics and Introduction to Business Analytics, where he equips students with essential skills in data collection, analysis, and visualization for real-world applications. Additionally, Hartman is actively involved in advisory roles for the Notre Dame Executive Business Council and has held various positions in analytics and consulting prior to his current role at Google.
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