Back to Clinical Trials Data Management and Quality Assurance
Johns Hopkins University

Clinical Trials Data Management and Quality Assurance

In this course, you’ll learn to collect and care for the data gathered during your trial and how to prevent mistakes and errors through quality assurance practices. Clinical trials generate an enormous amount of data, so you and your team must plan carefully by choosing the right collection instruments, systems, and measures to protect the integrity of your trial data. You’ll learn how to assemble, clean, and de-identify your datasets. Finally, you’ll learn to find and correct deficiencies through performance monitoring, manage treatment interventions, and implement quality assurance protocols.

Status: Microsoft Excel
Status: Clinical Monitoring
BeginnerCourse7 hours

Featured reviews

VR

Reviewed Apr 16, 2023

I was greatly helped by the presentation of data and the knowledge provided regarding analysis, data management, and QA. Thank you for this valuable opportunity and learning.

TC

Reviewed Nov 13, 2022

Really nice course. This course added so much insight to the industry im still somewhat new to!!

KS

Reviewed Feb 9, 2023

It's a lot of information but it is all quite clearly explained and I particularly liked the practical examples.

MN

Reviewed Jul 24, 2024

Highly recommended for those interested for QA jobs

AA

Reviewed May 19, 2025

بالنقر فوق إرسال، أوافق على إطلاع مجتمع كورسيرا على ملاحظاتي، بما يتفق مع شرو

JR

Reviewed Jan 29, 2023

Useful information...but a bit dryer compared with the first course. Regardless, it is essential information to be aware of for clinical trials.

TH

Reviewed Oct 28, 2025

This course was very rich in valuable information and was a great starting point for me to begin in this field

S

Reviewed Mar 12, 2025

super Clinical Trials Data Management and Quality Assurance course good use fully anyway tank you so much

SM

Reviewed Nov 22, 2023

I got best course from best website and instructors also very dedicated to the topics.

NG

Reviewed Jul 20, 2023

Excellent and thorough content. Lectures get monotonous sometimes.

SN

Reviewed Jul 10, 2024

Excellent course for anyone moving to Clinical Data management

All reviews

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