Skip to main content
Lesson title:

Introductory presentation on how data science can help with scientific reproducibility.

Difficulty level: Beginner
Duration:
Speaker: : Michel Dumontier
Lesson title:

This lecture will highlight our current understanding and recent developments in the field of neurodegenerative disease research, as well as the future of diagnostics and treatment of neurodegenerative diseases.

Difficulty level: Beginner
Duration: 39:05
Speaker: : Nir Giladi
Lesson title:

2nd part of the lecture. This lecture will highlight our current understanding and recent developments in the field of neurodegenerative disease research, as well as the future of diagnostics and treatment of neurodegenerative diseases.

Difficulty level: Beginner
Duration: 45:27
Speaker: : Nir Giladi
Lesson title:

This lecture will provide an overview of neuroimaging techniques and their clinical applications

Difficulty level: Beginner
Duration: 41:00
Speaker: : Dafna Ben Bashat
Lesson title:

A basic introduction to clinical presentation of schizophrenia, its etiology, and current treatment options.

Difficulty level: Beginner
Duration: 51:49
Lesson title:

The lecture focuses on rationale for employing neuroimaging methods for movement disorders

Difficulty level: Beginner
Duration: 1:04:04
Speaker: : Bogdan Draganski
Lesson title:

This lecture covers describing and characterizing an input-output relationship.

Difficulty level: Beginner
Duration: 1:35:33
Lesson title:

This tutorial talks about how to upload and version your data in OpenNeuro.org

Difficulty level: Beginner
Duration: 5:36
Speaker: : Unknown
Lesson title:

This tutorial shows how to share your data in OpenNeuro.org

Difficulty level: Beginner
Duration: 1:22
Speaker: : Unknown
Lesson title:

This tutorial shows how to run analysis in OpenNeuro.org

Difficulty level: Beginner
Duration: 2:26
Speaker: : Unknown
Lesson title:

Inferring results from incomplete data

Difficulty level: Beginner
Duration: 4:28
Speaker: : Barton Poulson
Lesson title:

Finding parameter values, confidence intervals.

Difficulty level: Beginner
Duration: 08:04
Speaker: : Barton Poulson
Lesson title:

Methods for estimating parameters.

Difficulty level: Beginner
Duration: 5:29
Speaker: : Barton Poulson
Lesson title:

Measuring the correspondece between data and model.

Difficulty level: Beginner
Duration: 3:30
Speaker: : Barton Poulson
Lesson title:

How to choose useful variables.

Difficulty level: Beginner
Duration: 6:15
Speaker: : Barton Poulson
Lesson title:

Common problems in statistical modelling.

Difficulty level: Beginner
Duration: 5:58
Speaker: : Barton Poulson
Lesson title:

Common problems in statistical modelling.

Difficulty level: Beginner
Duration: 3:50
Speaker: : Barton Poulson
Lesson title:

You don't have to be a wizard to do statistics!

Difficulty level: Beginner
Duration: 3:18
Speaker: : Barton Poulson
Lesson title:

Overview of possible follow up courses and subjects from the same publisher.

Difficulty level: Beginner
Duration: 1:43
Speaker: : Barton Poulson
Lesson title:

This tutorial is part 1 of 2. It aims to provide viewers with an understanding of the fundamentals of R tool.

Difficulty level: Beginner
Duration: 1:32:59
Speaker: : Edureka