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?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Introduction to Clinical Data course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
