Principles of fMRI 1
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| Rating | 4.4★ based on 98 ratings |
|---|---|
| Length | 5 weeks |
| Starts | Jun 26 (43 weeks ago) |
| Cost | $49 |
| From | Johns Hopkins University, University of Colorado Boulder via Coursera |
| Instructors | Martin Lindquist, PhD, MSc, Tor Wager, Tor Wager, PhD |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Science Data Science |
| Tags | Life Sciences Biology Data Science Data Analysis Health Informatics |
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What people are saying
so much
But I think I learned so much.
Thank you so much!
You helped me so much in my understanding of fMRI...I wish I did this course years before!
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too fast
The explanation of MRI physics was perhaps a bit too fast for good understanding.
بسیار خوب Instructors tend to talk too fast and read off the slides verbatim instead of thoroughly explaining the topic excelente I was incredibly impressed by the way in which Professor Lindquist and Professor Wager were able to take relatively complex concepts, and present them in a way that was engaging and accessible.
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well structured
Very nice course - very detailed and well structured, thank you very much for offering!
A very well structured course starting from the basics of fMRI.
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bit too
Anyone who interested in working an area related to fMRI should take it Very great It goes a bit too much into the details sometimes.
need some
From data collection to statistical analysis A very good introduction, but you would need some decent knowledge in statistics to fully understand the methods part.
You will need some prerequisites in statitics sometimes.
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statistical analysis
Fantastic overview of the statistical analysis of fMRI data.
Reviews most of the important fMRI statistical analysis concepts.
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| Rating | 4.4★ based on 98 ratings |
|---|---|
| Length | 5 weeks |
| Starts | Jun 26 (43 weeks ago) |
| Cost | $49 |
| From | Johns Hopkins University, University of Colorado Boulder via Coursera |
| Instructors | Martin Lindquist, PhD, MSc, Tor Wager, Tor Wager, PhD |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Science Data Science |
| Tags | Life Sciences Biology Data Science Data Analysis Health Informatics |
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