Introduction to Clinical Data Science
Learn to analyze healthcare data using SQL and R, with hands-on experience working with real clinical datasets.
Learn to analyze healthcare data using SQL and R, with hands-on experience working with real clinical datasets.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Clinical Data Science Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Understand clinical data generation and healthcare privacy regulations
Write SQL queries to combine and analyze clinical databases
Manipulate healthcare data using R and Tidyverse packages
Create data analysis reports using RMarkdown
Skills you'll gain
This course includes:
1.2 Hours PreRecorded video
8 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This foundational course introduces students to clinical data science, focusing on how healthcare data is generated, structured, and analyzed. The curriculum covers essential programming skills in SQL and R, with emphasis on working with real clinical datasets through Google Cloud's platform. Students learn about healthcare data privacy regulations, clinical data types, and practical data analysis techniques. The course combines theoretical knowledge with hands-on programming exercises using the MIMIC-III clinical database.
Welcome to the Clinical Data Science Specialization
Module 1 · 2 Hours to complete
Introduction: Clinical Data
Module 2 · 1 Hours to complete
Tools: SQL
Module 3 · 2 Hours to complete
Tools: R and the Tidyverse
Module 4 · 1 Hours to complete
Fee Structure
Instructor
Leader in Biomedical Informatics and Precision Medicine at the University of Colorado Anschutz Medical Campus
Dr. Laura K. Wiley is an Associate Professor in the Department of Biomedical Informatics at the University of Colorado Anschutz Medical Campus, where she also serves as Chief Data Scientist for Health Data Compass. Her research focuses on leveraging electronic health record (EHR) data to enhance precision medicine through the development of computational phenotyping algorithms and innovative approaches to clinical data science.Dr. Wiley has led significant projects, including work on precision dosing algorithms for warfarin in African Americans and serving as the lead informatician on a comprehensive tobacco cessation service funded by the NIH Cancer Moonshot initiative. She is a principal investigator in the Colorado Center for Personalized Medicine and has published extensively on topics related to health informatics and medical technology.In addition to her research, Dr. Wiley is actively involved in the American Medical Informatics Association (AMIA), having chaired various summits and served on the board of directors. She has co-developed the Coursera Clinical Data Science Specialization, which includes courses designed to teach essential skills in clinical research informatics.Her courses on Coursera include "Introduction to Clinical Data Science," "Advanced Clinical Data Science," and "Predictive Modeling and Transforming Clinical Practice," aimed at equipping students with the knowledge necessary for data-driven healthcare solutions
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