Introduction to Clinical Data It's a Free Course. Enroll it before the instructor makes it to the paid course.
What you will learn from the Introduction to Clinical Data
- How to construct Data mining workflow
- Common data types in Healthcare
- Strengths and weaknesses of observational data
- Time series and non-time series data
- Timelines, timescales and representations of time
- Timing of exposures and outcomes
- Different ways to put data in bins
- How to create features from structured sources
- Using features and the presence of features
- How to deal with missing values & too many features
- What are signals and Why signals are important?
- Major issues with using signals
- Challenges in electronic phenotyping
- Ethical Issues in Data sources for AI
Course Instructors Nigam Shah, Steven Bagley, David Magnus & Offered by Stanford University from Coursera
Course Duration: 12 hours to complete
Course is for Beginner Level
Can I download Introduction to Clinical Data course?
Course videos can be downloaded for offline viewing using the Udemy mobile app on Android and iOS. Some courses may allow downloading lectures on a computer only if the instructor has enabled it, but this is not guaranteed and is not the primary method Udemy supports.Can I get a certificate after completing the course?
Yes. After successful completion of the Introduction to Clinical Data, learners will receive a certificate of completion. The certificate confirms that the course has been completed and can be downloaded and shared on resumes or professional profiles.Are there any other coupons available for this course?
Additional coupons for this course may be available from time to time. Coupon availability is time-limited and may change or expire at any time, so it’s recommended to check regularly for updated offers.Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
