Course Description

8-week course: TBD

Please contact us at [email protected] for availability


“Numbers have an important story to tell. They rely on you to give them a clear and convincing voice”

Stephen Few

Author & Visualization Guru


Of all the resources available within a data-driven organization, executive attention is likely to be that in the shortest supply.  Healthcare executives rarely have a background in analyzing data.  They are more likely to get new information regarding care advancements and policy changes from the New York Times than scholarly journals.  As a result, the presentation strategy surrounding analytics results must change from a didactic format to one that tells a compelling story about a healthcare problem using elegant visuals.  Explaining Health Analytic Results to Leadership: The Art and Science presents the concept of storytelling with data as an important competency to ensure that the ‘call to action’ based on analytics results are understood.  We share several structured processes for data story development including the creation of TED Talks, which are popular given they appeal to how people think and learn.  

Please note: The goal of this course is not to teach the mechanics of a tool and for that reason, it is tool agnostic. Instead, Learners will practice thinking through their data exploration process regardless of the tool used.  Exercises can be completed in any tool you wish to use.


Learning Objectives

  • Describe the difference between storytelling and data visualization
  • Storyboard the sequence of the events to tell a story with a clear beginning, middle and end
  • Identify and employ the conceptual frameworks for storytelling that work the best for a business-facing audience
  • Execute a structured approach for choosing a story type depending on  your presentation goal
  • Use a variety of presentation tools to share the story with appropriate stakeholders
  • Discuss analytics results and implications in layman's terms
  • Differentiate between when to explain statistical underpinnings versus when to share conclusions
  • Communicate insights such that the organization can effectively and efficiently operationalize the recommendations
  • Articulate how analytic results can be extended to other business settings
  • Employ strategies to increase creative thinking


Format

This course employs a variety of learning modalities including live, virtual lecture; eLearning; curated microlearning; and coached activities.  We provide detailed problem sets, reading resources on timely healthcare use cases, and activities to test your understanding.  All problem sets answers will be reviewed by ThotWave experts and returned with copious feedback.  In addition, full answer keys will be provided so that learners can see alternative strategies they may not have realized.

Requirements

To get the most out of this course, Learners must be able to use a data management or visualization tool such as SAS, Qlik, Tableau, R, or JMP.  Excel can be used as well if the Learner is skilled in the use of macros.    

Instructors will be using SAS, JMP, or Tableau to demonstrate strategies and arrive at problem set solutions and support presentation development.


Audience

This course is designed for novice analysts with basic familiarity in executing the mechanics of a data exploration/visualization tool.  No statistical knowledge is required.  Given the focus placed on executing a structured process for critical thinking for healthcare data, both analysts new to the healthcare industry as well as healthcare analysts desiring more practice would benefit 


Time Commitment

Learn: 6 hours of lecture
Practice: 31+ hours of reading, quizzes, and presentation design practice
Engage: It’s up to you. Opportunities include:

  • Individual coaching (optional add-on for 2 hrs or 4 hrs)
  • Create a professional development plan with a skills assessment against our Healthcare Analytics Competency Model (optional add-on)


More questions? Check out our FAQ and learn how we are different!


Payment

Payment is accepted securely by credit card. Simply fill out the form on this page. You’ll then receive a prompt to enter your payment details.

Once completed, your space in this course will be secured.

For organizations with 10 or more registrants, group discounts are available. Contact us at here for more information.








Greg Nelson

Vice President, Analytics and Strategy

As founder and CEO, Greg is chief strategist, thinker, builder, teacher, writer, learner, inspire-r, and anything else that will propel ThotWave’s mission of creating data champions forward. Greg has over two decades’ experience and leadership in global healthcare and Business Intelligence, is a prolific writer and speaker, and board member of the SAS Global Users Group. Greg has a BA in Psychology from the University of California at Santa Cruz, did PhD work in Social Psychology and Quantitative Methods at the University of Georgia, and earned his master’s from Duke University in Clinical Informatics from the Fuqua School of Business.

Course curriculum

  • 1

    Welcome

    • Welcome to the course!

    • Pre-course survey

    • Get started with your Disqus account

    • Discussion board: Introduce yourself

  • 2

    Lesson 1: Conceptual Frameworks for Telling Data Stories

    • Reading assignments

    • Pre-class discussion question

    • Connect to the live class

    • Video: Recorded lecture

    • Post-class discussion question

    • Quiz

    • Problem Set 1: Create a story concept brief

  • 3

    Lesson 2: Audience Engagement

    • Video: Use case

    • Connect to the live class

    • Video: Recorded lecture

    • Discussion: Post-class discussion question

    • Problem Set 2: Tweaking visualizations for different audiences

  • 4

    Lesson 3: Common Mistakes

    • Readings assignments

    • Video: Common mistakes and how to avoid them

    • Problem Set 3: Correcting poor visualizations

  • 5

    Lesson 4: Practical Strategies to Increase Creative Thinking

    • Readings assignments

    • Pre-class discussion question

    • Connect to live class

    • Video: Recorded lecture

    • Problem Set 4: Creative thinking exercises

  • 6

    Lesson 5: Anatomy of a TED Talk

    • Reading assignments

    • Pre-class discussion question

    • Video: Making a killer TED talk

    • Quiz

    • Post-class discussion question

    • Problem Set 5: Find your TED talk

  • 7

    Lesson 6: Tools and Resources

    • Video: Tools for presentations

    • Best practices: Curate a visualization lookbook

    • Resources and luminaries to follow

    • Problem Set 6: Finalize and submit your TED talk

    • Problem Set 6b: Submit revisions

  • 8

    Conclusion

    • Course summary

    • Course transcript

    • End of course discussion question

    • Course assessment

    • Post-course survey

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    $199.00Healthcare Analytics Skills Assessment

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