Healthcare Analytics Academy

6 Week Course:  TBD

Please contact us at [email protected] for availability 

Well-defined data is only half of the battle to answer a business question.  The decisions made in exploring, interpreting, and explaining data speaks to the true art of analysis. If the canvas and paints are the ‘data,' what picture emerges? Well just like a painter gazing at blank canvas struggling to get started, data analysts can get stuck staring at a well-defined data set that they do not know how to explore.  The Data Exploration workshop guides learners on how to step into the ‘culture’ of data sets and develop their unique analysis style over time.

You never quite know what you get in a box of chocolates, and the same can be said of a large data set.  Exploration of Healthcare Data: Strategy and Hands-On Tactics is a blended learning course that guides learners on how to step into the ‘culture’ of data sets and develop their unique analysis style over time. 

This course employs real-life healthcare scenarios for wrangling, profiling, and exploring different data sets and adjudicating their suitability for business questions.  Learners will be asked to conduct open-ended exploration exercises of a variety of datasets and report on their findings.  

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

• Explain how exploratory and explanatory data analysis differ and when they are to be used
• Develop and execute a structured process to describe the aggregate trends, features, and culture of a data set
• Develop, execute, and document a data profiling process
• Define a strategy to accurately blend different data sets
• Identify and investigate anomalies in the data such as outliers
• Calculate and describe measures of central tendency and variation
• Identify interactions between different data elements
• Create new data fields such as calculations, categories, and indicators as to provide more options for data visualization
• Adjudicate whether a data set is capable of answering a question you want to ask and telling the related story
• Avoid common traps in the exploratory analysis process that may waste time
  
  
  

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.

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: 5 hours of lecture
Practice: 19+ hours of reading, quizzes, and problem set 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.