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This course is part of Clinical Data Science Specialization
Instructor: Laura K. Wiley, PhD
21,455 already enrolled
Included with
(409 reviews)
Recommended experience
Intermediate level
Some programming experience in any language.
(409 reviews)
Recommended experience
Intermediate level
Some programming experience in any language.
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.
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8 assignments
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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.
Learn what clinical data science is all about and get access to the free technology environment hosted by Google Cloud!
4 videos6 readings2 assignments
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 videos2 assignments
Develop basic skills in SQL (Structured Query Language) and query the real clinical data set used in the Clinical Data Science Specialization.
5 videos6 readings2 assignments
Learn how to use the tidyverse to implement your Clinical Data Science Workflow in R.
2 videos3 readings2 assignments
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
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.
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Stanford University
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409 reviews
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Reviewed on Nov 15, 2020
The course is great overall. But when it comes to teaching SQL and R, there is too much to learn with just a few explanation. It is not easy for those who do not have background knowledge on those.
Reviewed on Apr 25, 2020
Very Useful course.It would be helpful if there were some extra Videos in the Week 4: R part like in Week 3 :SQL.
Reviewed on Oct 14, 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.
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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.
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 enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. 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.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.