Introduces processes and design principles for creating meaningful displays of information that support effective business decision-making. Studies how to collect and process data; create visualizations (both static and interactive); and use them to provide insight into a problem, situation, or opportunity. Introduces methods to critique visualizations along with ways to answer the elusive question: “What makes a visualization effective?”
Healthcare Information Design and Visualizations
Instructor: Kevin Hartman
Sponsored by InternMart, Inc
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There are 4 modules in this course
In this module, you will start learning about the key objective of a data analyst: creating a beautiful data story. You will learn about the project case study you’ll work on through the duration of the course, then begin thinking about how to map out stories in your data. Next, you’ll take a look at the basics of a tool professionals use to visualize data: Tableau. You’ll wrap up by figuring out how to take your first steps on a data analytics project and hear from Mayo Clinic.
What's included
5 videos15 readings1 assignment2 discussion prompts
In this module we will cover visualization basics, diving deep into the characteristics of a high quality and persuasive data visualization. We’ll talk specifically about using contrast to clearly illustrate your insights.
What's included
4 videos6 readings1 assignment1 discussion prompt
In this module we will cover visualization basics, diving deep into the characteristics of a high quality and persuasive data visualization. We’ll talk specifically about using contrast to clearly illustrate your insights.
What's included
3 videos8 readings1 assignment1 peer review1 discussion prompt
In this module, you’ll build on the work from the previous module, focusing on polishing and improving your dataviz. This week emphasizes clear meaning.
What's included
2 videos6 readings1 assignment1 peer review
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