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.
제공자:
Introduction to Clinical Data Science
콜로라도 대학교이 강좌에 대하여
최근 조회 21,822회
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
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:
콜로라도 대학교
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.
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 1시간 필요
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!
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
완료하는 데 1시간 필요
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.
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
완료하는 데 3시간 필요
Tools: SQL
Develop basic skills in SQL (Structured Query Language) and query the real clinical data set used in the Clinical Data Science Specialization.
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
완료하는 데 2시간 필요
Tools: R and the Tidyverse
Learn how to use the tidyverse to implement your Clinical Data Science Workflow in R.
완료하는 데 2시간 필요
2개 동영상 (총 6분), 3 개의 읽기 자료, 2 개의 테스트
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
AS 제공2019년 10월 28일
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.
RR 제공2020년 5월 23일
Nice bite sized pieces, with relevant application to querying hospital database using (pre-requisite knowledge) of SQL and R-prog. Definitely useful for my speciality and line of work.
ET 제공2019년 10월 14일
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.
FM 제공2019년 2월 11일
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.
자주 묻는 질문
When will I have access to the lectures and assignments?
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.
What will I get if I purchase the Certificate?
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.
What is the refund policy?
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.
Is financial aid available?
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.
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.
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