Clinical Data Science course provide by university of colorado system
Clinical Data Science free videos and free material uploaded by University of Colorado System Staff .
Course 1: Introduction to Clinical Data Science
- Offered by University of Colorado System This course will prepare you to complete all parts of the Clinical Data Science Specialization In Enroll for free
Course 2: Clinical Data Models and Data Quality Assessments
- Offered by University of Colorado System This course aims to teach the concepts of clinical data models and common data models Upon Enroll for free
Course 3: Identifying Patient Populations
- Offered by University of Colorado System This course teaches you the fundamentals of computational phenotyping, a biomedical informatics Enroll for free
Course 4: Clinical Natural Language Processing
- Offered by University of Colorado System This course teaches you the fundamentals of clinical natural language processing (NLP) In this Enroll for free
Course 5: Predictive Modeling and Transforming Clinical Practice
- Offered by University of Colorado System This course teaches you the fundamentals of transforming clinical practice using predictive Enroll for free
Course 6: Advanced Clinical Data Science
- Offered by University of Colorado System This course prepares you to deal with advanced clinical data science topics and techniques Enroll for free
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
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