- Level Professional
- المدة 8 ساعات hours
- الطبع بواسطة University of Colorado System
-
Offered by
عن
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.الوحدات
Welcome to Introduction to Clinical Data Science
1
Videos
- Welcome to Introduction to Clinical Data Science
1
Readings
- Get help and meet other learners in this course. Join your discussion forums!
Introduction to Specialization Instructors
1
Readings
- Introduction to Specialization Instructors
Introduction to Clinical Data Science
1
Videos
- Introduction to Clinical Data Science
Clinical Data Regulations
1
Videos
- Clinical Data Regulations
Introduction to the MIMIC-III Data Set
1
Videos
- Introduction to the MIMIC-III Data Set
Getting Started
2
Readings
- Course Policies
- Accessing Course Data and Technology Platform
Additional Resources (Optional)
1
Assignment
- Week 1 Practice Quiz
2
Readings
- Regulations and Health Privacy Resources
- MIMIC-III Resources and References
Week 1 Assessment
1
Assignment
- Week 1 Assessment
Introduction to Clinical Data
1
Videos
- Introduction to Clinical Data
Encounters
1
Videos
- Encounters
Billing Data
1
Videos
- Billing Data
Laboratory Data
1
Videos
- Laboratory Data
Medication Data
1
Videos
- Medication Data
Clinical Observation Data
1
Videos
- Clinical Observation Data
Demographics, Social and Family History
1
Videos
- Demographics, Social and Family History
Additional Resources (Optional)
1
Assignment
- Week 2 Practice Quiz
Week 2 Assessment
1
Assignment
- Week 2 Assessment
Introduction to Databases
1
Videos
- Introduction to Databases
Querying Tables with SQL
1
Videos
- Querying Tables with SQL
Joining Tables with SQL
1
Videos
- Joining Tables with SQL
Aggregating Data with SQL
1
Videos
- Aggregating Data with SQL
Introduction to BigQuery
1
Videos
- Introduction to Google BigQuery
Programming Examples and Exercises
4
Readings
- 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
Additional Resources (Optional)
1
Assignment
- Programming Exercises Practice Quiz
1
Readings
- Joining Tables with SQL
Week 3 Assessment
1
Assignment
- Week 3 Assessment
1
Readings
- Note about the Assessment
Introduction to R and the Tidyverse
1
Videos
- Introduction to R and the Tidyverse
Introduction to RStudio
1
Videos
- Introduction to RStudio
Programming Examples and Exercises
2
Readings
- Working with RMarkdown Documents
- The Data Scientist's Workflow
Additional Resources (Optional)
1
Assignment
- Programming Exercises Practice Quiz
Week 4 Assessment
1
Assignment
- Week 4 Assessment
1
Readings
- Note about the Assessment
Auto Summary
Dive into the "Introduction to Clinical Data Science" to explore the generation, formatting, and ethical considerations of clinical data. This professional-level course, offered by Coursera, equips you with essential SQL and R programming skills, suitable even for beginners. Access real clinical data and utilize Google Cloud's computational environment. Perfect for aspiring data scientists aiming to enhance healthcare outcomes. Available through Starter and Professional subscription options, the course spans 480 minutes of comprehensive learning. Join now to start your clinical data science journey!

Laura K. Wiley, PhD