- Level Foundation
- Duration 16 hours
- Course by Northeastern University
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Offered by
About
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.Modules
Getting Started
1
Discussions
- Welcome to the Course!
6
Readings
- Welcome to Designing Engaging Dashboards for Healthcare Analytics!
- Meet Your Faculty: Kevin Hartman
- Providing Mayo Insights: Val Aniceto
- Syllabus
- Course Tools and Accounts
- Case Study Preview: Divvy Bikes
Module 1 Overview
1
Videos
- Module Overview
1
Readings
- Project 1 Preview
Lesson 1: Refresher on Contrast
1
Videos
- Contrast
1
Readings
- Lesson Resources
Lesson 2: Refresher on Clear Meaning
1
Videos
- Clear Meaning
1
Readings
- Lesson Resources
Project 1: "Client-Ready" Data Visualization
1
Discussions
- Project 1: "Client-Ready" Data Visualization Discussion
1
Readings
- Project Brief
Module 1 Wrap-Up
1
Assignment
- Module Quiz
1
Readings
- Module Summary
Honors Lesson: "Client-Ready" Dataviz
1
Peer Review
- Tableau Dataviz Improvement: Visual Form and Clarity
1
Videos
- Understanding Berinato's Types of Charts Part 1
2
Readings
- "Client-Ready" Dataviz
- Tableau Dataviz Improvement
Module Overview
1
Videos
- Module Overview
1
Readings
- Project 2: Refined Execution Preview
Lesson 1: Refined Execution
1
Videos
- Refined Execution
1
Readings
- Lesson Resources
Lesson 2: Refresher on Preparing to Create Client-Ready Data Visualizations
1
Videos
- Preparing to Create Client-Ready Data Visualizations
Lesson 3: Refresher on Getting to "The Ask Behind The Ask"
1
Videos
- Getting to "The Ask Behind The Ask"
1
Readings
- Lesson Resources
Mayo Spotlight
1
Videos
- Investigating Data at Mayo Clinic
Project 2: Refined Execution
1
Discussions
- Project 2: Refined Execution Discussion
1
Readings
- Project Brief
Module 2 Wrap-Up
1
Assignment
- Module Quiz
1
Readings
- Module Summary
Module 3 Overview
1
Videos
- Module Overview
1
Readings
- Project 3 Preview
Lesson 1: The McCandless Method
1
Videos
- The McCandless Method
1
Readings
- Lesson Resources
Lesson 2: John Kenny and Presenting Numbers With Impact
1
Videos
- John Kenny and Presenting Numbers With Impact
1
Readings
- Lesson Resources
Project 3: Presenting Information
1
Peer Review
- Presenting Information Peer Review
1
Readings
- Project Brief
Module 3 Wrap-Up
1
Assignment
- Module Quiz
1
Readings
- Module Summary
Module 4 Overview
1
Videos
- Module Overview
1
Readings
- Project 4 Preview
Lesson 1: Dashboard Basics
1
Videos
- Dashboard Basics
1
Readings
- Lesson Resources
Lesson 2: Five Rules for Designing Dashboards
1
Videos
- Five Rules for Designing Dashboards
1
Readings
- Lesson Resources
Project 4: Dashboards
1
Discussions
- Project 4: Dashboard Discussion
1
Readings
- Project Brief
Module 4 Wrap-Up
1
Assignment
- Module Quiz
1
Videos
- Course Summary
2
Readings
- Module Summary
- Congratulations
Auto Summary
Discover the principles of crafting impactful dashboards with "Designing Engaging Dashboards for Healthcare Analytics." This foundational course from Coursera dives into data collection, processing, and visualization, guiding learners to create compelling displays that enhance decision-making in healthcare. Explore static and interactive visualizations, learn effective data storytelling, and tackle the challenges of making data accessible to diverse audiences. The course spans 960 hours and is available with a Starter subscription, tailored for data science enthusiasts and professionals looking to elevate their skills.

Kevin Hartman