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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

3,711 already enrolled

Included with

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4 modules

Gain insight into a topic and learn the fundamentals.

26 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.

26 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 videos Total 57 minutes

Welcome to Advanced Clinical Data Science 2 minutes
Introduction to Analytic Integrity 8 minutes
Replicability of EHR-Based Analyses 2 minutes
Interpreting Analytic Questions 5 minutes
Implementing Analytic Questions 5 minutes
Data Quality in Real World Electronic Health Records 11 minutes
Data Quality in ETL 13 minutes
Impact of Workflow on Data Quality 10 minutes
Keep Calm and Data Science On 1 minute

3 readings Total 15 minutes

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

1 assignment Total 30 minutes

Week 1 Assessment 30 minutes

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

What's included

8 videos1 assignment

8 videos Total 32 minutes

Introduction to Temporality 1 minute
Temporality: Medicine and Healthcare 6 minutes
Temporality: Electronic Health Records 2 minutes
Changes Over Time: Medicine and Healthcare 4 minutes
Changes Over Time: Electronic Health Records 3 minutes
Temporality and Analytics 4 minutes
Understanding Dates and Times: R & SQL 6 minutes
Understanding Dates and Times: MIMIC-III and Common Data Models 6 minutes

1 assignment Total 30 minutes

Week 2 Assessment 30 minutes

Learn how to handle missing data in clinical data science.

What's included

8 videos1 assignment

8 videos Total 39 minutes

Introduction to Missing Data 4 minutes
Types of Missing Data 4 minutes
Types of Missing Data: Electronic Health Records 3 minutes
Types of Missing Data: Clinical Care 2 minutes
Data Missingness Techniques: Electronic Health Records 4 minutes
Data Missingness Techniques: Record Linkage and Data Quality 18 minutes
Data Missingness Techniques: Clinical Care 4 minutes
Missing Data Wrap Up 0 minutes

1 assignment Total 30 minutes

Week 3 Assessment 30 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 Courses 10,542 learners

Offered by

University of Colorado System

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Reviewed on Aug 20, 2021

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

Reviewed on Jan 10, 2026

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

Reviewed on Jan 18, 2021

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

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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.