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, immersive visualizations, and good use of data dashboards. Offers students an opportunity to use one or more software tools.
In this module you will become re-acquainted with your team's Divvy project. You'll continue preparing "Client-Ready" visuals, reviewing all of the materials that you have thus far and engaging in robust discussion with your fellow learners.
Understanding Berinato's Types of Charts Part 1•4 minutes
13 readings•Total 159 minutes
Welcome to Designing Engaging Dashboards for Healthcare Analytics!•1 minute
Meet Your Faculty: Kevin Hartman•1 minute
Providing Mayo Insights: Val Aniceto•1 minute
Syllabus•10 minutes
Course Tools and Accounts•10 minutes
Case Study Preview: Divvy Bikes•12 minutes
Project 1 Preview•1 minute
Lesson Resources•10 minutes
Lesson Resources•36 minutes
Project Brief•60 minutes
Module Summary•1 minute
"Client-Ready" Dataviz•1 minute
Tableau Dataviz Improvement•15 minutes
1 assignment•Total 10 minutes
Module Quiz•10 minutes
1 peer review•Total 120 minutes
Tableau Dataviz Improvement: Visual Form and Clarity•120 minutes
2 discussion prompts•Total 35 minutes
Welcome to the Course!•10 minutes
Project 1: "Client-Ready" Data Visualization Discussion•25 minutes
Refining Execution of Visualizations
Module 2•3 hours to complete
Module details
This module reintroduces the concepts of “The Ask Behind The Ask,” and stresses the importance of making your data visualizations “Client Ready.” You will learn the concept of refined execution, closing the module with a talk from Val Aniceto discussing the subject.
What's included
5 videos5 readings1 assignment1 discussion prompt
Show info about module content
5 videos•Total 26 minutes
Module Overview•1 minute
Refined Execution•6 minutes
Preparing to Create Client-Ready Data Visualizations•7 minutes
This module is all about presenting. Taking the visuals you produced in the previous weeks, you will build a presentation to showcase your data story. In support of this, you’ll consider advanced techniques for structuring your story and determining the audience.
What's included
3 videos5 readings1 assignment1 peer review
Show info about module content
3 videos•Total 12 minutes
Module Overview•1 minute
The McCandless Method•5 minutes
John Kenny and Presenting Numbers With Impact•6 minutes
5 readings•Total 35 minutes
Project 3 Preview•1 minute
Lesson Resources•9 minutes
Lesson Resources•9 minutes
Project Brief•15 minutes
Module Summary•1 minute
1 assignment•Total 10 minutes
Module Quiz•10 minutes
1 peer review•Total 180 minutes
Presenting Information Peer Review•180 minutes
Dashboards
Module 4•4 hours to complete
Module details
In this module, you'll cover both the simple and complicated aspects of dashboards. We focus on wrapping up the Divvy project and ensure that the executive team have a dashboard that can continue to deliver the same data story you intended from the outset.
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