Data Management for Clinical Research
Data Management for Clinical Research is a beginner-level online course from Coursera in Management. It is structured in 6 modules with 1 stated learning outcome, over 17h 26m. Learners rate it 4.7/5 from 1.9K ratings on Coursera.
Part of our Management courses collection, where we compare it against 75 other courses.
Course highlights
| Provider | Coursera |
| Duration | 17h 26m |
| Level | Beginner |
| Mode | Self-paced |
| Language | English |
| Certificate | Yes — shareable certificate |
| Rating | 4.7★ (1.9K reviews) |
| Price | Check price |
About this course
This Data Management for Clinical Research course teaches you how to handle data for medical studies. You learn critical concepts and practical methods for planning, collecting, storing, and sharing research data. The course covers important topics like developing a research data collection strategy and understanding Electronic Data Capture (EDC) fundamentals. It also explores how to plan a data strategy for prospective studies and manage post-study activities.
Offered by Vanderbilt University through Coursera, this program guides you through the process of ensuring data quality and trust in research results. You explore various aspects of clinical data management, including regulatory compliance, data sharing, and data storage. The curriculum includes modules on "Practicing What We've Learned: Implementation" and "Data Collection with Surveys," giving you exposure to real-world scenarios.
Upon completing this course, you gain practical skills in Data Capture, Data Collection, and Data Strategy specifically for clinical settings. You will be able to plan a basic data collection strategy for a clinical study. You can also make informed decisions about how to capture and organize data effectively. The course prepares you to build or review simple forms using tools like REDCap, identify common data quality issues, and understand key compliance and privacy considerations. For example, you learn to outline baseline and visit forms for a prospective study or design a clear survey for participant data collection.
This is a Beginner-level course, making it suitable for those new to the field of Data Management for Clinical Research. It assumes very little technical knowledge, focusing on a guided introduction to study planning, data collection, and compliance. The course is self-paced and takes approximately 17 hours 26 minutes to complete. With a rating of 4.7 from 1883 reviews, it provides a solid introduction to the subject.
While this course focuses specifically on medical research contexts, if you are looking for broader data management skills, consider alternatives like Data Management: The Complete Masterclass. For general management skills, you might explore options such as Management Consulting Essential Training 2026 + AI, ISO/IEC 27001: Information Security Management System (ISMS), Identity and Access Management (IAM), CRM: Customer Relationship Management, or SAP FICO (Financial Accounting & Management Accounting). You can find more options on our Management courses hub page.
What you’ll learn
Level and time commitment
Skills you’ll gain
What this course covers
6 modulesThe 6-part outline Coursera publishes for this course, across 17h 26m.
Module 1 · Research Data Collection Strategy
Module 2 · Electronic Data Capture Fundamentals
Module 3 · Planning a Data Strategy for a Prospective Study
Module 4 · Practicing What We've Learned: Implementation
Module 5 · Post-Study Activities and Other Considerations
Module 6 · Data Collection with Surveys
What learners rate it
Rated 4.7/5 by 1.9K learners on Coursera (checked 10 Aug 2026).
This rating is collected by Coursera from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Coursera →
Compiled by the CoursesGlobal editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Coursera course pages — we never estimate a price or a rating. Last verified 10 August 2026.
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Compare with alternatives
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| Course | Provider | Rating | Price | Duration | Why pick this one |
|---|---|---|---|---|---|
| Data Management for Clinical Research This |
|
4.7★ | Check price | 17h 26m | Beginner-friendly · 17h 26m |
| Management Accounting: Cost Systems, Budgets, & Strategies |
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5.0★ | Free | Free — and still gives a certificate | |
| Introduction to Management Consulting |
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4.8★ | Check price | 5h 45m | Quickest to finish (5h 45m) |
| Social Media Management |
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4.8★ | Check price | 18h 13m | Beginner-friendly · 18h 13m |
Common questions
How much does Data Management for Clinical Research cost?
Coursera does not publish a price we can read on the course page, so we do not show one. Check the fee on the provider site — we would rather say nothing than quote a number we did not collect.
Does Data Management for Clinical Research come with a certificate?
Yes — Coursera lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.
How long does Data Management for Clinical Research take?
Coursera lists it at 17h 26m. It is self-paced, so that is the volume of material rather than a deadline — how long it actually takes depends on the hours you put in each week.
Is Data Management for Clinical Research suitable for beginners?
Yes. Coursera lists it at Beginner level, so no prior experience in the subject is assumed.
What does Data Management for Clinical Research cover?
It is organised into 6 modules, starting with Research Data Collection Strategy and going on to Electronic Data Capture Fundamentals, Planning a Data Strategy for a Prospective Study, Practicing What We've Learned: Implementation, Post-Study Activities and Other Considerations, among others. The full outline is on this page.