Designing Engaging Dashboards for Healthcare Analytics
Master healthcare data visualization: Create impactful dashboards for effective decision-making in healthcare analytics.
Master healthcare data visualization: Create impactful dashboards for effective decision-making in healthcare analytics.
This course introduces processes and design principles for creating meaningful healthcare analytics dashboards that support effective business decision-making. Students will learn to collect and process healthcare 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, explores what makes a visualization effective, and discusses the challenges of making healthcare 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, immersive visualizations, and best practices for designing data dashboards. Students will have the opportunity to use software tools to apply their learning in practical healthcare scenarios, working with real-world projects like the Divvy Bikes case study.
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What you'll learn
Master the creation of "client-ready" visuals for healthcare data
Develop skills in refining and polishing data visualizations for healthcare contexts
Learn techniques for structuring and presenting compelling data stories
Understand the principles of effective dashboard design for healthcare analytics
Gain practical experience in critiquing and improving data visualizations
Apply the concept of "The Ask Behind The Ask" in healthcare data analysis
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 designing engaging dashboards for healthcare analytics. Students will learn the entire process of creating effective data visualizations and dashboards, from initial data analysis to final presentation. The curriculum covers key concepts such as creating "client-ready" visuals, refining execution of visualizations, structuring data stories, and designing impactful dashboards. Practical skills in using software tools 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 in healthcare contexts. The course emphasizes both the technical aspects of dashboard design and the critical thinking skills needed to create impactful data stories in healthcare settings.
Client-Ready Visuals
Module 1 · 5 Hours to complete
Refining Execution of Visualizations
Module 2 · 2 Hours to complete
Presenting Information
Module 3 · 3 Hours to complete
Dashboards
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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Frequently asked questions
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