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.
This course is part of the Clinical Data Science Specialization
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Offered By
Clinical Data Science SpecializationUniversity of Colorado SystemAbout this Course
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Learner Career Outcomes
20%
started a new career after completing these courses
27%
got a tangible career benefit from this course
25%
got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 1 of 6 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Some programming experience in any language.
Approx. 8 hours to complete
English
Subtitles: French, Portuguese (European), Russian, English, Spanish
What you will learn
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.
Learner Career Outcomes
20%
started a new career after completing these courses
27%
got a tangible career benefit from this course
25%
got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 1 of 6 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Some programming experience in any language.
Approx. 8 hours to complete
English
Subtitles: French, Portuguese (European), Russian, English, Spanish
Offered by
University of Colorado System
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.
Syllabus - What you will learn from this course
2 hours to complete
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!
2 hours to complete
4 videos (Total 16 min), 5 readings, 2 quizzes
1 hour to complete
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.
1 hour to complete
7 videos (Total 35 min)
3 hours to complete
Tools: SQL
Develop basic skills in SQL (Structured Query Language) and query the real clinical data set used in the Clinical Data Science Specialization.
3 hours to complete
5 videos (Total 18 min), 6 readings, 2 quizzes
2 hours to complete
Tools: R and the Tidyverse
Learn how to use the tidyverse to implement your Clinical Data Science Workflow in R.
2 hours to complete
2 videos (Total 6 min), 3 readings, 2 quizzes
Reviews
TOP REVIEWS FROM INTRODUCTION TO CLINICAL DATA SCIENCE
by KYNov 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.
by ASOct 28, 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.
by RRMay 23, 2020
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.
by ETOct 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.
About the Clinical Data Science Specialization
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!
Frequently Asked Questions
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