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Learner Reviews & Feedback for Introduction to Neurohacking In R by Johns Hopkins University

4.6
stars
294 ratings

About the Course

Neurohacking describes how to use the R programming language (https://cran.r-project.org/) and its associated package to perform manipulation, processing, and analysis of neuroimaging data. We focus on publicly-available structural magnetic resonance imaging (MRI). We discuss concepts such as inhomogeneity correction, image registration, and image visualization. By the end of this course, you will be able to: Read/write images of the brain in the NIfTI (Neuroimaging Informatics Technology Initiative) format Visualize and explore these images Perform inhomogeneity correction, brain extraction, and image registration (within a subject and to a template)....

Top reviews

BR

Feb 8, 2017

I like that this course goes through most necessary steps, my only suggest would be to have one additional week where you go through everything all together, and then do some simple group analysis.

JS

May 7, 2019

Thank you for the wonderful course. Especially useful when the team explains every new line of code. As a current undergraduate and aspiring neuroscience researcher, this is tremendously helpful.

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26 - 50 of 55 Reviews for Introduction to Neurohacking In R

By Lydia D

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Oct 8, 2019

A nice introduction to neurohacking in R. I would recommend this course for beginners.

By Farhood J

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Feb 23, 2024

It has been a great experience. Thanks for making such a high quality specialization!

By Nevin J

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Dec 5, 2023

excellent course building you up with basics using R and fsl, antr

By Spyridon S

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Sep 4, 2016

An excellent introduction to neuroimaging analysis! Tank you.

By Chandan V

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May 17, 2017

Great course....medical imaging techniques at its best :)

By Dinara Y

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Oct 13, 2020

An amazing introduction to neuroimaging in R! Thank you!

By Rajavarman K

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Aug 21, 2020

Nice Course.Wonderful material.Enjoyed learning it.

By Navchetan A

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Feb 13, 2017

Good course for the basics of neurohacking.

By robbie m

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Sep 3, 2020

Love the in depth explanations of the R!

By Jinyi K

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Dec 28, 2018

Great intro class. Recommended.

By Malte G

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Mar 2, 2017

Really good introduction.

By Anqi Z

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Nov 10, 2020

very hands on

By Mohammed O E A

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Oct 18, 2016

Really nice!

By Alexander J

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Oct 13, 2019

thank you!

By Amar S

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May 8, 2020

fabulous

By Fidel G

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Jul 16, 2019

It was a great experience going through the processes of ways of viewing, manipulating and extracting data from brain scan images. With few bumps on the way I keep focusing on the knowledge that I gain which I may apply into a future project of machine learn.

By George G

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Sep 13, 2023

I learned a huge amount of material. I feel confident in "R". My only suggestion is to slow down some of the lectures a bit. Thanks for developing this lecture series -- kudos to everyone involved.

By Aleksandr S

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Mar 27, 2020

Great course! Just please delete the 10-second introduction before each video. It makes the most horrible sound. Other than that, amazing course

By Mehdi N T

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Apr 5, 2018

Great concise walk-through of neuro-imaging techniques. Low quality audio and a lot of background noise though.

By Srihari S

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Aug 21, 2017

Perhaps links to some materials regarding explanation of the data could be provided.

By Brion J

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Mar 7, 2018

Student presenters are not as good as professors.

By Salvador G

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May 18, 2017

It was a really good course, thank you!

By Aman M

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Mar 5, 2017

All the lecture were thorough and good.

By ANSHAY A

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Feb 15, 2018

Should have more practical work