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.
At the end of this course you will be prepared to embark on your clinical data science education journey, learning how to take data created by the healthcare system and improve the health of tomorrow's patients.
Este curso forma parte de Programa Especializado - Clinical Data Science
Introduction to Clinical Data Science
ofrecido por
Acerca de este Curso
4.6
42 calificaciones
Qué 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.
Programa - Qué aprenderás en este curso
Semana
11 hora para completar
Welcome to the Clinical Data Science Specialization
Learn what clinical data science is all about and get access to the free technology environment hosted by Google Cloud!
4 videos (Total 16 minutos), 5 readings, 2 quizzes
4 videos
Introduction to Clinical Data Science3m
Clinical Data Regulations5m
Introduction to the MIMIC-III Data Set4m
5 lecturas
Introduction to Specialization Instructors5m
Course Policies5m
Accessing Course Data and Technology Platform15m
Regulations and Health Privacy Resources10m
MIMIC-III Resources and References10m
2 ejercicios de práctica
Week 1 Practice Quiz12m
Week 1 Assessment16m
Semana
21 hora para completar
Introduction: Clinical Data
Clinical data are complex. Walk through the four-W's of clinical data to understand where they come from and what they look like.
7 videos (Total 35 minutos), 2 quizzes
7 videos
Encounters4m
Billing Data5m
Laboratory Data7m
Medication Data7m
Clinical Observation Data1m
Demographics, Social and Family History2m
2 ejercicios de práctica
Week 2 Practice Quiz8m
Week 2 Assessment16m
Semana
33 horas para completar
Tools: SQL
Develop basic skills in SQL (Structured Query Language) and query the real clinical data set used in the Clinical Data Science Specialization.
5 videos (Total 18 minutos), 6 readings, 2 quizzes
5 videos
Querying Tables with SQL2m
Joining Tables with SQL4m
Aggregating Data with SQL4m
Introduction to Google BigQuery3m
6 lecturas
Introduction and Learning Objectives for Programming Examples and Exercises5m
Guide to Google BigQuery Interface10m
Querying and Aggregating Individual Tables with Google BigQuery 45m
Querying and Joining Multiple Tables with Google BigQuery30m
Joining Tables with SQL15m
Note about the Assessment2m
2 ejercicios de práctica
Programming Exercises Practice Quiz24m
Week 3 Assessment20m
Semana
42 horas para completar
Tools: R and the Tidyverse
Learn how to use the tidyverse to implement your Clinical Data Science Workflow in R.
2 videos (Total 6 minutos), 3 readings, 2 quizzes
3 lecturas
Working with RMarkdown Documents10m
The Data Scientist's Workflow15m
Note about the Assessment2m
2 ejercicios de práctica
Programming Exercises Practice Quiz22m
Week 4 Assessment
50%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
Principales revisiones
Easy to understand, very professional and studying material is clear and relevant. I definitely recommend this course to jump into the clinical and healthcare data science world.
The material is presented very clearly, and exercises are easy to understand and complete but really test one's knowledge of the material.
Instructor
Laura K. Wiley, PhD
Assistant ProfessorDivision of Biomedical Informatics and Personalized Medicine, Anschutz Medical Campus
Acerca de 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.
Acerca del programa especializado Clinical Data Science
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.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.
¿Qué recibiré si me suscribo a este Programa especializado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
¿Cuál es la política de reembolsos?
¿Hay ayuda económica disponible?
I live in an area that restricts access to Google products. Will I be able to complete the specialization?
Unfortunately at this time we can only allow students who have access to Google services (e.g., a gmail account) to complete the specialization. This is because we give students access to real clinical data and our privacy protections only allow data sharing through the Google BigQuery environment.
¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.
Coursera brinda acceso universal a la mejor educación del mundo, al asociarse con las mejores universidades y organizaciones, para ofrecer cursos en línea.
© 2019 Coursera Inc. Todos los derechos reservados.
