Introduction to Clinical Data

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?

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.
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