Lesson type
Difficulty level
Lecture title:
Course:
The probability of a hypothesis, given data.
Difficulty level: Beginner
Duration: 7:57
Speaker: : Barton Poulson
Lecture title:
Course:
Why math is useful in data science.
Difficulty level: Beginner
Duration: 1:35
Speaker: : Barton Poulson
Lecture title:
Course:
Why statistics are useful for data science.
Difficulty level: Beginner
Duration: 4:01
Speaker: : Barton Poulson
Lecture title:
Course:
Statistics is exploring data.
Difficulty level: Beginner
Duration: 2:23
Speaker: : Barton Poulson
Lecture title:
Course:
Graphical data exploration
Difficulty level: Beginner
Duration: 8:01
Speaker: : Barton Poulson
Lecture title:
Course:
Numerical data exploration
Difficulty level: Beginner
Duration: 5:05
Speaker: : Barton Poulson
Lecture title:
Course:
Simple description of statistical data.
Difficulty level: Beginner
Duration: 10:16
Speaker: : Barton Poulson
Lecture title:
Course:
Basics of hypothesis testing.
Difficulty level: Beginner
Duration: 06:04
Speaker: : Barton Poulson
Lecture title:
In this lecture, the speaker demonstrates Neurokernel's module interfacing feature by using it to integrate independently developed models of olfactory and vision LPUs based upon experimentally obtained connectivity information.
Difficulty level: Intermediate
Duration: 29:56
Speaker: : Aurel A. Lazar
Lecture title:
Course:
Introductory presentation on how data science can help with scientific reproducibility.
Difficulty level: Beginner
Duration:
Speaker: : Michel Dumontier
Lecture title:
Course:
How does the brain learn? This lecture discusses the roles of development and adult plasticity in shaping functional connectivity.
Difficulty level: Beginner
Duration: 1:08:45
Speaker: : Clay Reid
Lecture title:
The mechanisms behind changes in synaptic function created by learning.
Difficulty level: Beginner
Duration: 27:07
Speaker: : Carl Petersen
Lecture title:
Course:
This video will teach you the basics of navigating the OSF, a free research management tool, and creating your first projects.
Difficulty level: Beginner
Duration: 2:11
Speaker: :
Lecture title:
Course:
This webinar walks you through the basics of creating an OSF project, structuring it to fit your research needs, adding collaborators, and tying your favorite online tools into your project structure.
Difficulty level: Beginner
Duration: 55:02
Speaker: : Ian Sullivan
Lecture title:
Course:
This webinar will introduce how to use the Open Science Framework (OSF; https://osf.io) in a Classroom. The OSF is a free, open source web application built to help researchers manage their workflows. The OSF is part collaboration tool, part version control software, and part data archive. The OSF connects to popular tools researchers already use, like Dropbox, Box, Github and Mendeley, to streamline workflows and increase efficiency.
Difficulty level: Beginner
Duration: 32:01
Speaker: : April Clyburne-Sherin
Lecture title:
Course:
Organizing related projects with Links, Forks, and Templates.
Difficulty level: Beginner
Duration: 51:14
Speaker: : Ian Sullivan
Lecture title:
Course:
This webinar will introduce the integration of JASP Statistical Software (https://jasp-stats.org/) with the Open Science Framework (OSF; https://osf.io). The OSF is a free, open source web application built to help researchers manage their workflows
Difficulty level: Beginner
Duration: 30:56
Speaker: : Alexander Etz
Lecture title:
Course:
- How keeping track of the different file versions is important for efficient reproducible research practices
- How version control works on the OSF
- How researchers can view and download previous versions of files
Difficulty level: Beginner
Duration: 22:07
Speaker: : Courtney Soderberg
Lecture title:
Course:
This tutorial talks about how to upload and version your data in OpenNeuro.org
Difficulty level: Beginner
Duration: 5:36
Speaker: : Unknown
Lecture title:
Course:
This tutorial shows how to share your data in OpenNeuro.org
Difficulty level: Beginner
Duration: 1:22
Speaker: : Unknown