Implementation ScienceClinical Text MiningR ProgrammingComputational PhenotypingData Quality Assessment
Programa especializado: Clinical Data Science
Launch your career in Clinical Data Science. A six-course introduction to using clinical data to improve the care of tomorrow's patients.
ofrecido por
Programa especializado: Clinical Data ScienceSistema Universitario de ColoradoQué aprenderás
Describe how each type of clinical data are generated, specifically outlining who creates the data, when and why the data are generated.
Write SQL code to combine two or more tables using database joins.
Write R code to manipulate and tidy data including: selecting columns, filtering rows, and joining data sets.
Write markdown formatted text and combine with R code in RMarkdown documents.
Habilidades que obtendrás
Acerca de este Programa Especializado
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.
Proyecto de aprendizaje aplicado
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.
Resultados profesionales del estudiante
20%
Comenzaste una nueva carrera profesional después de completar este programa especializado.
25%
Conseguiste un aumento de sueldo o ascenso.
Certificado para compartir
Obtén un certificado al finalizar
Cursos 100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Cronograma flexible
Establece y mantén fechas de entrega flexibles.
Nivel intermedio
Some programming experience and an interest in Clinical Data Science are required.
Approximately 7 months to complete
Suggested pace of 2 hours/week
Inglés (English)
Subtítulos: Inglés (English), Francés (French), Portugués (europeo), Ruso (Russian), Español (Spanish)
Resultados profesionales del estudiante
20%
Comenzaste una nueva carrera profesional después de completar este programa especializado.
25%
Conseguiste un aumento de sueldo o ascenso.
Certificado para compartir
Obtén un certificado al finalizar
Cursos 100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Cronograma flexible
Establece y mantén fechas de entrega flexibles.
Nivel intermedio
Some programming experience and an interest in Clinical Data Science are required.
Approximately 7 months to complete
Suggested pace of 2 hours/week
Inglés (English)
Subtítulos: Inglés (English), Francés (French), Portugués (europeo), Ruso (Russian), Español (Spanish)
Hay 6 cursos en este Programa Especializado
Introduction to Clinical Data Science
270 calificaciones
This course will prepare you to complete all parts of the Clinical Data Science Specialization. In this course you will learn how clinical data are generated, the format of these data, and the ethical and legal restrictions on these data. You will also learn enough SQL and R programming skills to be able to complete the entire Specialization - even if you are a beginner programmer. While you are taking this course you will have access to an actual clinical data set and a free, online computational environment for data science hosted by our Industry Partner Google Cloud.
Clinical Data Models and Data Quality Assessments
51 calificaciones
This course aims to teach the concepts of clinical data models and common data models. Upon completion of this course, learners will be able to interpret and evaluate data model designs using Entity-Relationship Diagrams (ERDs), differentiate between data models and articulate how each are used to support clinical care and data science, and create SQL statements in Google BigQuery to query the MIMIC3 clinical data model and the OMOP common data model.
Identifying Patient Populations
29 calificaciones
This course teaches you the fundamentals of computational phenotyping, a biomedical informatics method for identifying patient populations. In this course you will learn how different clinical data types perform when trying to identify patients with a particular disease or trait. You will also learn how to program different data manipulations and combinations to increase the complexity and improve the performance of your algorithms. Finally, you will have a chance to put your skills to the test with a real-world practical application where you develop a computational phenotyping algorithm to identify patients who have hypertension. You will complete this work using a real clinical data set while using a free, online computational environment for data science hosted by our Industry Partner Google Cloud.
Clinical Natural Language Processing
17 calificaciones
This course teaches you the fundamentals of clinical natural language processing (NLP). In this course you will learn the basic linguistic principals underlying NLP, as well as how to write regular expressions and handle text data in R. You will also learn practical techniques for text processing to be able to extract information from clinical notes. Finally, you will have a chance to put your skills to the test with a real-world practical application where you develop text processing algorithms to identify diabetic complications from clinical notes. You will complete this work using a free, online computational environment for data science hosted by our Industry Partner Google Cloud.
ofrecido por
Sistema Universitario de Colorado
The University of Colorado is a recognized leader in higher education on the national and global stage. We collaborate to meet the diverse needs of our students and communities. We promote innovation, encourage discovery and support the extension of knowledge in ways unique to the state of Colorado and beyond.
Preguntas Frecuentes
¿Recibiré crédito universitario por completar el programa especializado?
Can I just enroll in a single course?
¿Puedo inscribirme en un solo curso?
Can I take the course for free?
¿Puedo tomar este curso de manera gratuita?
¿Este curso es 100 % en línea? ¿Necesito asistir a alguna clase en persona?
How long does it take to complete the Specialization?
¿Cuánto tiempo se necesita para completar un programa especializado?
Do I need to take the courses in a specific order?
Will I earn university credit for completing the Specialization?
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