Coursera – Clinical Data Science Specialization 2023-12

Coursera – Clinical Data Science Specialization 2023-12 Downloadly IRSpace

Apr 17, 2025 - 14:12 Updated: Apr 21, 2025 - 06:57

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Coursera – Clinical Data Science Specialization 2023-12

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 may be a future clinical data scientist! This specialization provides learners with hands on experience in use of electronic health records and informatics tools to perform clinical data science. This series of six courses is designed to augment 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 know how to: 1) understand electronic health record data types and structures, 2) deploy basic informatics methodologies on clinical data, 3) provide appropriate clinical and scientific interpretation of applied analyses, and 4) anticipate barriers in implementing informatics tools into 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 computational 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 technique you learned throughout the course. In these projects you will apply your skills to a real clinical data set using the free, fully hosted online data science environment provided by our industry partner, Google Cloud.

What you’ll learn

Data Quality Assessment
Computational Phenotyping
Implementation Science
R Programming
Clinical Text Mining

Specificatoin of Clinical Data Science Specialization

Publisher : Coursera
Teacher : Laura K. Wiley
Language : English
Level : Intermediate
Number of Course : 6
Duration : 2 months at 10 hours a week

Content of Clinical Data Science Specialization

Clinical Data Science Specialization

Requirements

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