Informações sobre o curso
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100% on-line

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível intermediário

Some programming experience in any language.

Aprox. 11 horas para completar

Sugerido: 4 weeks of study, 1-3 hours/week...

Inglês

Legendas: Inglês

O que você vai aprender

  • Check

    Describe how each type of clinical data are generated, specifically outlining who creates the data, when and why the data are generated.

  • Check

    Write SQL code to combine two or more tables using database joins.

  • Check

    Write R code to manipulate and tidy data including: selecting columns, filtering rows, and joining data sets.

  • Check

    Write markdown formatted text and combine with R code in RMarkdown documents.

100% on-line

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível intermediário

Some programming experience in any language.

Aprox. 11 horas para completar

Sugerido: 4 weeks of study, 1-3 hours/week...

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
1 horas para concluir

Welcome to the Clinical Data Science Specialization

4 vídeos (Total 16 mín.), 5 leituras, 2 testes
4 videos
Introduction to Clinical Data Science3min
Clinical Data Regulations5min
Introduction to the MIMIC-III Data Set4min
5 leituras
Introduction to Specialization Instructors5min
Course Policies5min
Accessing Course Data and Technology Platform15min
Regulations and Health Privacy Resources10min
MIMIC-III Resources and References10min
2 exercícios práticos
Week 1 Practice Quiz12min
Week 1 Assessment16min
Semana
2
1 horas para concluir

Introduction: Clinical Data

7 vídeos (Total 35 mín.), 2 testes
7 videos
Encounters4min
Billing Data5min
Laboratory Data7min
Medication Data7min
Clinical Observation Data1min
Demographics, Social and Family History2min
2 exercícios práticos
Week 2 Practice Quiz8min
Week 2 Assessment16min
Semana
3
3 horas para concluir

Tools: SQL

5 vídeos (Total 18 mín.), 6 leituras, 2 testes
5 videos
Querying Tables with SQL2min
Joining Tables with SQL4min
Aggregating Data with SQL4min
Introduction to Google BigQuery3min
6 leituras
Introduction and Learning Objectives for Programming Examples and Exercises5min
Guide to Google BigQuery Interface10min
Querying and Aggregating Individual Tables with Google BigQuery 45min
Querying and Joining Multiple Tables with Google BigQuery30min
Joining Tables with SQL15min
Note about the Assessment2min
2 exercícios práticos
Programming Exercises Practice Quiz24min
Week 3 Assessment20min
Semana
4
2 horas para concluir

Tools: R and the Tidyverse

2 vídeos (Total 6 mín.), 3 leituras, 2 testes
2 videos
Introduction to RStudio3min
3 leituras
Working with RMarkdown Documents10min
The Data Scientist's Workflow1h 15min
Note about the Assessment2min
2 exercícios práticos
Programming Exercises Practice Quiz22min
Week 4 Assessment
4.7
42 avaliaçõesChevron Right

25%

comecei uma nova carreira após concluir estes cursos

17%

consegui um benefício significativo de carreira com este curso

Principais avaliações do Introduction to Clinical Data Science

por ASOct 29th 2019

Very nice overview of a very complex topic. Somewhat superficial in some areas, but this is an introduction class and covered everything to an acceptable degree. A very intimidating topic.

por ETOct 15th 2019

One great course I will recommend to people. Had the chance to learn so much, especially about the MIMIC III dataset as I am using it for a project in AI. Thank you for this course.

Instrutores

Avatar

Laura K. Wiley, PhD

Assistant Professor
Division of Biomedical Informatics and Personalized Medicine, Anschutz Medical Campus

Sobre Sistema de Universidades do ColoradoUniversidade do 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....

Sobre Programa de cursos integrados 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....
Clinical Data Science

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.

  • 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.

Mais dúvidas? Visite o Central de Ajuda ao Aprendiz.