Data Science
for Nursing Professionals
This course explains different data science applications and the implications of artificial intelligence in the world of direct patient care. Pairing each quantitative question with the correct statistical technique is essential to ensure you are using the right methods to make appropriate inferences to inform and improve practice. This course warns the professional nurse about incorrect statistical thinking, explains the correct approach, and directs the nurse on the right path to conduct high quality analysis and apply the findings appropriately in clinical practice, also leveraging modern data science and artificial intelligence tools.
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Data Science for Healthcare Quality Improvement
Up to 7 Continuing Education Hours
Hours of Video Content
Accompanying Slides
Evidence-Based Curriculum
$300
Purchase Data Science Project Templates
NOTE: Data Science templates are not required materials for the Data Science for Healthcare QI course.
The link, below, is provided for your convenience.
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Course Objectives
Having completed the learning activities the participant will be able to:
Know and understand commonly used data science, statistics, and artificial intelligence terminology
Know and understand basic data storage, statistics, data science and artificial intelligence concepts
Know about different data storage, statistics, data science and artificial intelligence methods
Know resources to support learning about statistics, data science, and artificial intelligence
Know about a general framework for data analysis to generate useful insights,
Know about the activities included in each stage of the data analysis framework, and
Match common types of quantitative questions with general categories of statistics and machine learning solutions.
Estimated degree of difficulty: Advanced
Learn how to Incorporate Data Science into your Quality Improvement Program
You have dedicated your life to caring for patients. Maybe you have a great idea to improve practice, but you lack the tools to prove your idea’s value. Maybe you want to take advantage of the recent advances in Artificial Intelligence technology. Or maybe you are leading a team of professionals that need to better understand statistical optimization to ensure multiple important factors are considered when making decisions to guide policy and procedure changes.
