Healthcare Information Design and Visualizations

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?” Discusses the challenges of making data understandable across a wide range of audiences. Introduces the fundamentals of communication required for effective data storytelling. Other topics may include ethical uses of information displays, storytelling, infographics, and immersive visualizations. Offers students an opportunity to use one or more software tools. Looking for a for-credit offering of this course? Take this course as a 3-credit For-Credit, Non-Degree course and get a taste Northeastern University's world-class online programs without the commitment of a full degree. Take the course as a standalone for credit or stack the credits into eligible degree and certificate programs. Learn more and register: https://online.northeastern.edu/courses/information-visuals-and-dashboards-for-business

• Planning Your Data Story
• 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.
• Exploratory Data Analysis
• 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.
• Creating Visualizations
• 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.
• Communicating Meaning Through Data
• 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.