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Lesson title:

The probability of a hypothesis, given data.

Difficulty level: Beginner
Duration: : 7:57
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Why math is useful in data science.

Difficulty level: Beginner
Duration: : 1:35
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Why statistics are useful for data science.

Difficulty level: Beginner
Duration: : 4:01
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Statistics is exploring data.

Difficulty level: Beginner
Duration: : 2:23
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Graphical data exploration

Difficulty level: Beginner
Duration: : 8:01
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Numerical data exploration

Difficulty level: Beginner
Duration: : 5:05
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Simple description of statistical data.

Difficulty level: Beginner
Duration: : 10:16
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Basics of hypothesis testing.

Difficulty level: Beginner
Duration: : 06:04
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson 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
Course Name: : Open collaboration in computational neuroscience
Lesson title:

Introduction to the types of glial cells, homeostasis (influence of cerebral blood flow and influence on neurons), insulation and protection of axons (myelin sheath; nodes of Ranvier), microglia and reactions of the CNS to injury.

Difficulty level: Beginner
Duration: : 40:32
Course Name: : Introduction to neurobiology for non-specialists
Lesson title:

An overview of some of the essential concepts in neuropharmacology (e.g. receptor binding, agonism, antagonism), an introduction to pharmacodynamics and pharmacokinetics, and an overview of the drug discovery process relative to diseases of the Central Nervous System.

Difficulty level: Beginner
Duration: : 45:47
Course Name: : Brain medicine for non-specialists
Lesson title:

A short reel on who we are, what we're doing and why we're doing it

Difficulty level: Beginner
Duration: : 2:38
Speaker: :
Course Name: : Hypothes.isHypothes.is: a web-based annotation tool
Lesson title:

In this webinar, educators currently implementing collaborative annotation in their classrooms discuss their experiences with collaborative annotation and using Hythothes.is and Canvas App.

Difficulty level: Beginner
Duration: : 53:14
Speaker: : Jeremy Dean
Course Name: : Hypothes.isHypothes.is: a web-based annotation tool
Lesson title:

Tutorial that provides an overview of how to use the feature of Hypothes.is.

Difficulty level: Beginner
Duration: : 09:30
Speaker: :
Course Name: : Hypothes.isHypothes.is: a web-based annotation tool
Lesson title:

A brief overview of the Hypothesis functionality from an end user's perspective.

Difficulty level: Beginner
Duration: : 5:36
Speaker: : Heather Staines
Course Name: : Hypothes.isHypothes.is: a web-based annotation tool
Lesson title:

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: :
Course Name: : Open Science Framework (OSF)
Lesson title:

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
Course Name: : Open Science Framework (OSF)
Lesson title:

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
Course Name: : Open Science Framework (OSF)
Lesson title:

Organizing related projects with Links, Forks, and Templates.

Difficulty level: Beginner
Duration: : 51:14
Speaker: : Ian Sullivan
Course Name: : Open Science Framework (OSF)
Lesson title:

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
Course Name: : Open Science Framework (OSF)