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Advanced Clinical Data Science

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Advanced Clinical Data Science

This course is part of Clinical Data Science Specialization

Instructors: Michael G. Kahn, MD, PhD

3,793 already enrolled

Included with

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4 modules

Gain insight into a topic and learn the fundamentals.

27 reviews

Intermediate level

Some related experience required

4 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

27 reviews

Intermediate level

Some related experience required

4 hours to complete

Flexible schedule

Learn at your own pace

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

3 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the Clinical Data Science Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

This course prepares you to deal with advanced clinical data science topics and techniques including temporal and research quality analysis.

Learn how to perform high quality and replicable clinical analyses.

What's included

9 videos3 readings1 assignment

9 videosTotal 57 minutes

Welcome to Advanced Clinical Data Science2 minutes
Introduction to Analytic Integrity8 minutes
Replicability of EHR-Based Analyses2 minutes
Interpreting Analytic Questions5 minutes
Implementing Analytic Questions5 minutes
Data Quality in Real World Electronic Health Records11 minutes
Data Quality in ETL13 minutes
Impact of Workflow on Data Quality10 minutes
Keep Calm and Data Science On1 minute

3 readingsTotal 15 minutes

Get help and meet other learners in this course. Join your discussion forums!5 minutes
Introduction to Specialization Instructors5 minutes
Course Policies5 minutes

1 assignmentTotal 30 minutes

Week 1 Assessment30 minutes

Learn how to handle the impact of time on clinical data science analyses.

What's included

8 videos1 assignment

8 videosTotal 32 minutes

Introduction to Temporality1 minute
Temporality: Medicine and Healthcare6 minutes
Temporality: Electronic Health Records2 minutes
Changes Over Time: Medicine and Healthcare4 minutes
Changes Over Time: Electronic Health Records3 minutes
Temporality and Analytics4 minutes
Understanding Dates and Times: R & SQL6 minutes
Understanding Dates and Times: MIMIC-III and Common Data Models6 minutes

1 assignmentTotal 30 minutes

Week 2 Assessment30 minutes

Learn how to handle missing data in clinical data science.

What's included

8 videos1 assignment

8 videosTotal 39 minutes

Introduction to Missing Data4 minutes
Types of Missing Data4 minutes
Types of Missing Data: Electronic Health Records3 minutes
Types of Missing Data: Clinical Care2 minutes
Data Missingness Techniques: Electronic Health Records4 minutes
Data Missingness Techniques: Record Linkage and Data Quality18 minutes
Data Missingness Techniques: Clinical Care4 minutes
Missing Data Wrap Up0 minutes

1 assignmentTotal 30 minutes

Week 3 Assessment30 minutes

Prepare for the next step in your clinical data science journey by exploring potential career options!

What's included

6 videos

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Instructor ratings

(9 ratings)

Michael G. Kahn, MD, PhD

University of Colorado System

2 Courses10,743 learners

Offered by

University of Colorado System

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Reviewed on Aug 21, 2021

Great skills learnt with a lot of hands-on practical experiences from this course.

Reviewed on Jan 11, 2026

Informative, hands-on practical and assignments (for portfolio), and easy to follow.

Reviewed on Jan 19, 2021

I took the whole specialization. And I've learned tons!

View more reviews

Frequently asked questions

Unfortunately at this time we can only allow students who have access to Google services (i.e., a gmail account) to complete the course. This is because we give students access to real clinical data and our privacy protections only allow data sharing through the Google BigQuery environment.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.