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?”
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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.
Syllabus
WEEK 1
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.
WEEK 2
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.
WEEK 3
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.
WEEK 4
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.
