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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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
Visiting Lecturer at Northeastern University
Kevin Hartman is a Visiting Lecturer at Northeastern University, where he teaches the course "Information Visuals and Dashboards for Business." With extensive experience in digital analytics, he previously served as the Chief Analytics Evangelist at Google. In his current role, Hartman focuses on equipping students with the skills to transform raw data into compelling visual narratives, emphasizing the importance of data visualization in business decision-making. His professional background includes partnerships with major brands such as Nestlé, General Mills, and Bank of America, where he developed innovative digital solutions. Hartman is also known for his creative approach to data storytelling and has contributed to various online courses, including those on platforms like Coursera. His expertise in blending analytical rigor with creative insights makes him a valuable asset to the academic community at Northeastern University.
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