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.

Introduction to Clinical Data Science

Introduction to Clinical Data Science
This course is part of Clinical Data Science Specialization

Instructor: Laura K. Wiley, PhD
Access provided by Albertsons
25,685 already enrolled
427 reviews
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What you'll 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.
Skills you'll gain
Tools you'll learn
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Reviewed on Mar 18, 2020
This was a good general overview however there should have been more of a practice task based system when it came to the coding or make the coding a different segment altogether
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 Jan 27, 2020
Very good course with quizzes that challenge a bit. Content is presented in a concise and didactically appropriate manner.
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