VOOZH about

URL: https://www.coursera.org/learn/advanced-clinical-data-science

⇱ Advanced Clinical Data Science | Coursera


Advanced Clinical Data Science

Ends soon! Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.

Gain insight into a topic and learn the fundamentals.
4.9

27 reviews

Intermediate level
Some related experience required
4 hours to complete

Gain insight into a topic and learn the fundamentals.
4.9

27 reviews

Intermediate level
Some related experience required
4 hours to complete

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 videosβ€’Total 57 minutes
  • Welcome to Advanced Clinical Data Scienceβ€’2 minutes
  • Introduction to Analytic Integrityβ€’8 minutes
  • Replicability of EHR-Based Analysesβ€’2 minutes
  • Interpreting Analytic Questionsβ€’5 minutes
  • Implementing Analytic Questionsβ€’5 minutes
  • Data Quality in Real World Electronic Health Recordsβ€’11 minutes
  • Data Quality in ETLβ€’13 minutes
  • Impact of Workflow on Data Qualityβ€’10 minutes
  • Keep Calm and Data Science Onβ€’1 minute
3 readingsβ€’Total 15 minutes
  • Get help and meet other learners in this course. Join your discussion forums!β€’5 minutes
  • Introduction to Specialization Instructorsβ€’5 minutes
  • Course Policiesβ€’5 minutes
1 assignmentβ€’Total 30 minutes
  • Week 1 Assessmentβ€’30 minutes

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

What's included

8 videos1 assignment

8 videosβ€’Total 32 minutes
  • Introduction to Temporalityβ€’1 minute
  • Temporality: Medicine and Healthcareβ€’6 minutes
  • Temporality: Electronic Health Recordsβ€’2 minutes
  • Changes Over Time: Medicine and Healthcareβ€’4 minutes
  • Changes Over Time: Electronic Health Recordsβ€’3 minutes
  • Temporality and Analyticsβ€’4 minutes
  • Understanding Dates and Times: R & SQLβ€’6 minutes
  • Understanding Dates and Times: MIMIC-III and Common Data Modelsβ€’6 minutes
1 assignmentβ€’Total 30 minutes
  • Week 2 Assessmentβ€’30 minutes

Learn how to handle missing data in clinical data science.

What's included

8 videos1 assignment

8 videosβ€’Total 39 minutes
  • Introduction to Missing Dataβ€’4 minutes
  • Types of Missing Dataβ€’4 minutes
  • Types of Missing Data: Electronic Health Recordsβ€’3 minutes
  • Types of Missing Data: Clinical Careβ€’2 minutes
  • Data Missingness Techniques: Electronic Health Recordsβ€’4 minutes
  • Data Missingness Techniques: Record Linkage and Data Qualityβ€’18 minutes
  • Data Missingness Techniques: Clinical Careβ€’4 minutes
  • Missing Data Wrap Upβ€’0 minutes
1 assignmentβ€’Total 30 minutes
  • Week 3 Assessmentβ€’30 minutes

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

What's included

6 videos

6 videosβ€’Total 19 minutes
  • Introduction to Careers in Clinical Data Scienceβ€’2 minutes
  • Understanding Job Opportunities in Clinical Data Scienceβ€’3 minutes
  • Clinical Data Science by Any Other Nameβ€’3 minutes
  • Clinical Data Science Competenciesβ€’5 minutes
  • Evaluating Clinical Data Science Opportunitiesβ€’5 minutes
  • Wrapping up the Specializationβ€’1 minute

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
4.5 (9 ratings)
University of Colorado System
2 Coursesβ€’10,812 learners

Explore more from Data Analysis

Why people choose Coursera for their career

πŸ‘ Image

Felipe M.

Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
πŸ‘ Image

Jennifer J.

Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
πŸ‘ Image

Larry W.

Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
πŸ‘ Image

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

  • 5 stars

    85.18%

  • 4 stars

    14.81%

  • 3 stars

    0%

  • 2 stars

    0%

  • 1 star

    0%

Showing 3 of 27

GB
Β·

Reviewed on Aug 20, 2021

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

ST
Β·

Reviewed on Jan 10, 2026

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

JG
Β·

Reviewed on Jan 18, 2021

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

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.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,