Introduction to Neurohacking In R

Introduction to Neurohacking In R

Introduction to Neurohacking In R This course is part of Neuroscience and Neuroimaging Specialization Taught in English 22 languages available Some content may not be translated Instructors: Dr. Elizabeth Sweeney +2 more Close Instructors Instructor ratings We asked all learners to give feedback on our instructors based on the quality of their teaching style. Close

Description

Neurohacking, a term derived from “neuro” (related to the brain) and “hacking” (practicing unconventional methods to achieve a specific goal), refers to the practice of using various techniques to optimize brain function and enhance cognitive abilities. In recent years, neurohacking has gained popularity as a way to improve focus, memory, and overall mental performance.

One of the tools used in neurohacking is the programming language R. R is a powerful statistical computing and graphics software that is commonly used by data analysts and researchers. In recent years, R has also been utilized by neurohackers to analyze and manipulate brain data.

Neurohacking in R involves using various packages and libraries that are specifically designed for analyzing brain data. These packages allow users to perform advanced statistical

Introduction to Neurohacking In R

This course is part of Neuroscience and Neuroimaging Specialization

Taught in English

Some content may not be translated

Dr. Elizabeth Sweeney
Ciprian M. Crainiceanu
John Muschelli III

Instructors: Dr. Elizabeth Sweeney

23,250 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.6

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Intermediate level
Some related experience required
17 hours (approximately)
Flexible schedule
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26 quizzes

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