University of Colorado Boulder - Introduction to Clinical Data Science
5.0 /5- Offered byCoursera
Introduction to Clinical Data Science at Coursera Overview
Duration | 8 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Introduction to Clinical Data Science at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 1 of 6 in the Clinical Data Science Specialization
- 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
Introduction to Clinical Data Science at Coursera Course details
- 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.
Introduction to Clinical Data Science at Coursera Curriculum
Welcome to the Clinical Data Science Specialization
Welcome to Introduction to Clinical Data Science
Introduction to Clinical Data Science
Clinical Data Regulations
Introduction to the MIMIC-III Data Set
Introduction to Specialization Instructors
Course Policies
Accessing Course Data and Technology Platform
Regulations and Health Privacy Resources
MIMIC-III Resources and References
Week 1 Practice Quiz
Week 1 Assessment
Introduction: Clinical Data
Introduction to Clinical Data
Encounters
Billing Data
Laboratory Data
Medication Data
Clinical Observation Data
Demographics, Social and Family History
Week 2 Practice Quiz
Week 2 Assessment
Tools: SQL
Introduction to Databases
Querying Tables with SQL
Joining Tables with SQL
Aggregating Data with SQL
Introduction to Google BigQuery
Introduction and Learning Objectives for Programming Examples and Exercises
Guide to Google BigQuery Interface
Querying and Aggregating Individual Tables with Google BigQuery
Querying and Joining Multiple Tables with Google BigQuery
Joining Tables with SQL
Note about the Assessment
Programming Exercises Practice Quiz
Week 3 Assessment
Tools: R and the Tidyverse
Introduction to R and the Tidyverse
Introduction to RStudio
Working with RMarkdown Documents
The Data Scientist's Workflow
Note about the Assessment
Programming Exercises Practice Quiz
Week 4 Assessment
Introduction to Clinical Data Science at Coursera Admission Process
Important Dates
Other courses offered by Coursera
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