Search result for Certificate in data science for healthcare Online Courses & Certifications
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Advanced Clinical Data Science
by Michael G. Kahn, MD, PhD , Laura K. Wiley, PhD- 0.0
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Approx. 4 hours to complete
This course prepares you to deal with advanced clinical data science topics and techniques including temporal and research quality analysis. Introduction: Advanced Clinical Data Science Keep Calm and Data Science On Practical Application: Careers in Clinical Data Science Introduction to Careers in Clinical Data Science Understanding Job Opportunities in Clinical Data Science...
What is Data Science?
by Rav Ahuja , Alex Aklson- 4.7
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Approx. 9 hours to complete
Since then, people working in data science have carved out a unique and distinct field for the work they do. In this course, we will meet some data science practitioners and we will get an overview of what data science is today. Cloud for Data Science Data Science in Business Recruiting for Data Science...
Quality Improvement in Healthcare Organizations
by Margaret Kilduff, Ph.D.- 4.8
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Approx. 14 hours to complete
The project requires you to synthesize course material to design a quality improvement program for a healthcare organization the way you would have things run in the best of all worlds. Lesson Three: Data Collection and Analysis Methodologies for Quality and Quality Improvement Measures in Healthcare Organizations Types of Quality Data in Healthcare Organizations...
Materials Data Sciences and Informatics
by Dr. Surya Kalidindi- 4.5
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Approx. 9 hours to complete
More specifically, it is argued that modern data sciences (including advanced statistics, dimensionality reduction, and formulation of metamodels) and innovative cyberinfrastructure tools (including integration platforms, databases, and customized tools for enhancement of collaborations among cross-disciplinary team members) are likely to play a critical and pivotal role in addressing the above challenges....
Introduction to Digital health
by Lisa Danquah , Céire Costelloe- 0.0
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Approx. 30 hours to complete
These technologies are assessed in terms of the key opportunities and challenges to their use and the evidence of their effectiveness in the field of digital health in relation to public health and healthcare globally. Podcast: The use of digital tools for data collection for public health The use of digital tools for data collection for public health...
Importing Data in the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 4.6
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Approx. 15 hours to complete
If you work in an organization where different departments collect data using different systems and different storage formats, then this course will provide essential tools for bringing those datasets together and making sense of the wealth of information in your organization. Importing (and Exporting) Data in R Healthcare Coverage Data Healthcare Spending Data...
Collaborative Data Science for Healthcare
by Louis Agha-Mir-Salim , Leo Anthony Celi , Marie-Laure Charpignon , Kenneth Eugene Paik- 0.0
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12 Weeks
Big data is proliferating in diverse forms within the healthcare field, not only because of the adoption of electronic health records, but also because of the growing use of wireless technologies for ambulatory monitoring. This course provides an introductory survey of data science tools in healthcare through several hands-on workshops and exercises....
$49
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Leading Healthcare Quality and Safety
by Gregory Pawlson , Jean Johnson- 4.8
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Approx. 13 hours to complete
Ensuring patient safety and healthcare quality is critical and should be a key focus of everyone in healthcare practice. The course takes a world view of patient safety and quality, linking participants to research and resources from the World Health Organization (WHO), the US Agency for Healthcare Research and Quality (AHRQ), the Joint Commission and other international organizations....
Digital Marketing Analytics in Theory
by Kevin Hartman- 4.5
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Approx. 20 hours to complete
This course introduces students to the science of web analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide the foundation needed to apply data analytics to real-world challenges marketers confront daily. - Utilize data in decision making for agencies, organizations, or clients The Art and Science Mind...
Case studies in business analytics with ACCENTURE
by Nicolas Glady- 3.7
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Approx. 8 hours to complete
Who is this course for ? During the first two MOOCs, we focused on specific techniques for specific applications. Big data & predictive maintenance in the Utilities sector - Rohit Banerji Big data & advanced analytics in the Communications industry - Cian O’Hare Advanced Analytics in Healthcare and the Pharmaceutical industry / Wrap up and Introduction to capstone...
