Mar 01, 2017
I find the course helpful and a good introduction into data management. I'm hoping that there is a follow up course to take us further and deeper in planning for a study and data analysis.
Feb 25, 2019
Great course, regardless the role you have in the research; you do improve your data management skill set. A fantastic course for beginners who are trying to increase their productivity.
by Christopher Sorensen•
May 20, 2019
Great course. Useful, straightforward information. I enjoyed learning more about REDCap while learning best practices in Clinical Data Management.
May 17, 2019
It's a good contented course for the researcher.
by Jeanne M Lightbody•
May 16, 2019
A great course for someone who needs to learn about the people, process, and technology used in clinical research. It helped me to transfer my expertise from one industry to another.
by Kifner Rex M. Quejada•
May 07, 2019
I learned a lot about best practices in clinical research data management. This course also gave me a hands-on experience in electronic data capture.
by Lubomir Duricek•
Apr 30, 2019
Great basic overview of data management for clinical research along with simple practical assignments.
by shaik samrin•
Apr 02, 2019
Online subject gives an idea for future analysis
by vinuthna akinapelli•
Mar 24, 2019
The course was very informative.
Looking forward to do many more courses in future as well!!
by Christa Ochoa•
Mar 19, 2019
Lots of great information. Wish we could go into more detail on certain topics, like conducting data audits that would be really practical in a real-world setting. Also wish discussions were more lively.
by Andres Leonardo Pinzon Parada•
Mar 11, 2019
I give 5 stars to this course because the information was precise, accurate, not to repetitive and since I already have background on this topic I understood deeply some scenarios, they were clear. Thank you
by Tabitha Sleap•
Mar 11, 2019
I think overall this was a good course but that some of the elements were a little simplistic. I'd have liked some modules that delve more into the technical elements of data management for clinical research, e.g. SAS programming and how it can be used.