이 강좌에 대하여

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학습자 경력 결과

25%

가 이 강좌를 수료한 후 새로운 커리어를 시작함

17%

가 이 강좌를 통해 확실한 경력상 이점을 얻음
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
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일정에 따라 마감일을 재설정합니다.
중급 단계

Some programming experience in any language.

완료하는 데 약 7시간 필요
영어
자막: 영어

배울 내용

  • 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.

학습자 경력 결과

25%

가 이 강좌를 수료한 후 새로운 커리어를 시작함

17%

가 이 강좌를 통해 확실한 경력상 이점을 얻음
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
유동적 마감일
일정에 따라 마감일을 재설정합니다.
중급 단계

Some programming experience in any language.

완료하는 데 약 7시간 필요
영어
자막: 영어

제공자:

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강의 계획 - 이 강좌에서 배울 내용

1

1

완료하는 데 1시간 필요

Welcome to the Clinical Data Science Specialization

완료하는 데 1시간 필요
4개 동영상 (총 16분), 5 개의 읽기 자료, 2 개의 테스트
4개의 동영상
Introduction to Clinical Data Science3m
Clinical Data Regulations5m
Introduction to the MIMIC-III Data Set4m
5개의 읽기 자료
Introduction to Specialization Instructors5m
Course Policies5m
Accessing Course Data and Technology Platform15m
Regulations and Health Privacy Resources10m
MIMIC-III Resources and References10m
2개 연습문제
Week 1 Practice Quiz12m
Week 1 Assessment16m
2

2

완료하는 데 1시간 필요

Introduction: Clinical Data

완료하는 데 1시간 필요
7개 동영상 (총 35분)
7개의 동영상
Encounters4m
Billing Data5m
Laboratory Data7m
Medication Data7m
Clinical Observation Data1m
Demographics, Social and Family History2m
2개 연습문제
Week 2 Practice Quiz8m
Week 2 Assessment16m
3

3

완료하는 데 3시간 필요

Tools: SQL

완료하는 데 3시간 필요
5개 동영상 (총 18분), 6 개의 읽기 자료, 2 개의 테스트
5개의 동영상
Querying Tables with SQL2m
Joining Tables with SQL4m
Aggregating Data with SQL4m
Introduction to Google BigQuery3m
6개의 읽기 자료
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
2개 연습문제
Programming Exercises Practice Quiz24m
Week 3 Assessment20m
4

4

완료하는 데 2시간 필요

Tools: R and the Tidyverse

완료하는 데 2시간 필요
2개 동영상 (총 6분), 3 개의 읽기 자료, 2 개의 테스트
2개의 동영상
Introduction to RStudio3m
3개의 읽기 자료
Working with RMarkdown Documents10m
The Data Scientist's Workflow1시간 15분
Note about the Assessment2m
2개 연습문제
Programming Exercises Practice Quiz22m
Week 4 Assessment

검토

INTRODUCTION TO CLINICAL DATA SCIENCE의 최상위 리뷰

모든 리뷰 보기

자주 묻는 질문

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved. Learn more.

  • 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.

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