Coursera – Clinical Data Science Specialization 2023-12 – Download

Description

Clinical Data Science Specialization Are you interested in how to use data generated by doctors, nurses, and the healthcare system to improve the care of future patients? If so, you could be the clinical data scientist of the future! This specialization provides learners with hands-on experience in the use of electronic health records and informatics tools to perform clinical data science. This series of six courses is designed to enhance the learner’s existing skills in statistics and programming to provide examples of specific challenges, tools, and appropriate interpretations of clinical data. By completing this specialization you will learn how to: 1) understand electronic health record data types and structures, 2) deploy basic informatics methods on clinical data, 3) provide appropriate clinical and scientific interpretations of applied analyses, and 4) anticipate barriers to implementing informatics tools in complex clinical settings. You will demonstrate your mastery of these skills by completing practical application projects using real clinical data.

This specialization is supported by our industry partnership with Google Cloud. Thanks to this support, all learners will have access to a fully hosted online data science computing environment for free! Please note that you must have access to a Google account (i.e., Gmail account) to access the clinical data and computational environment. Each course in the specialization culminates in a final project that is a practical application of the tools and techniques you have learned throughout the course. In these projects you will apply your skills to real clinical data sets using a free, fully hosted online data science environment provided by our industry partner, Google Cloud.

What you will learn

Data quality assessment
Computational Phenotyping
Implementation Science
R Programming
Clinical Text Mining

Uniqueness of the Clinical Data Science Expertise

Publisher: Coursera
Teacher: Laura K. Wiley
language English
Level: Intermediate
No. of Courses: 6
Duration: 2 months 10 hours per week

Content of the Clinical Data Science Specialization

Clinical Data Science Expertise

Requirements

Some experience or awareness of programming and statistical concepts is helpful. However, Course 1 – Introduction to Clinical Data Science provides learners with sufficient training in SQL and R to complete the specialization