This talk describes the NIH-funded SPARC Data Structure, and how this project navigates ontology development while keeping in mind the FAIR science principles.

Difficulty level: Beginner

Duration: 25:44

Speaker: : Fahim Imam

This lesson consists of a brief discussion around this sessions previous talks.

Difficulty level: Beginner

Duration: 12:43

This lecture gives an introduction to the INCF Short Course: Introduction to Neuroinformatics.

Difficulty level: Beginner

Duration: 34:27

Speaker: : Marja-Leena Linne

Course:

Presented by the OHBM OpenScienceSIG, this lesson covers how containers can be useful for running the same software on different platforms and sharing analysis pipelines with other researchers.

Difficulty level: Beginner

Duration: 01:21:59

Speaker: : Tom Shaw & Steffen Bollmann

Course:

This lesson gives an introduction to the Mathematics chapter of Datalabcc's Foundations in Data Science series.

Difficulty level: Beginner

Duration: 2:53

Speaker: : Barton Poulson

Course:

This lesson serves a primer on elementary algebra.

Difficulty level: Beginner

Duration: 3:03

Speaker: : Barton Poulson

Course:

This lesson provides a primer on linear algebra, aiming to demonstrate how such operations are fundamental to many data science.

Difficulty level: Beginner

Duration: 5:38

Speaker: : Barton Poulson

Course:

In this lesson, users will learn about linear equation systems, as well as follow along some practical use cases.

Difficulty level: Beginner

Duration: 5:24

Speaker: : Barton Poulson

Course:

This talk gives a primer on calculus, emphasizing its role in data science.

Difficulty level: Beginner

Duration: 4:17

Speaker: : Barton Poulson

Course:

This lesson clarifies how calculus relates to optimization in a data science context.

Difficulty level: Beginner

Duration: 8:43

Speaker: : Barton Poulson

Course:

This lesson covers Big O notation, a mathematical notation that describes the limiting behavior of a function as it tends towards a certain value or infinity, proving useful for data scientists who want to evaluate their algorithms' efficiency.

Difficulty level: Beginner

Duration: 5:19

Speaker: : Barton Poulson

Course:

This lesson serves as a primer on the fundamental concepts underlying probability.

Difficulty level: Beginner

Duration: 7:33

Speaker: : Barton Poulson

Serving as good refresher, this lesson explains the maths and logic concepts that are important for programmers to understand, including sets, propositional logic, conditional statements, and more.

This compilation is courtesy of freeCodeCamp.

Difficulty level: Beginner

Duration: 1:00:07

Speaker: : Shawn Grooms

This lesson provides a useful refresher which will facilitate the use of Matlab, Octave, and various matrix-manipulation and machine-learning software.

This lesson was created by RootMath.

Difficulty level: Beginner

Duration: 1:21:30

Speaker: :

This lecture discusses the the importance and need for data sharing in clinical neuroscience.

Difficulty level: Intermediate

Duration: 25:22

Speaker: : Thomas Berger

This lecture presents the Medical Informatic Platform's data federation for Traumatic Brain Injury.

Difficulty level: Intermediate

Duration: 25:55

Speaker: : Stefano Finazzi

This lecture gives insights into the Medical Informatics Platform's current and future data privacy model.

Difficulty level: Intermediate

Duration: 17:29

Speaker: : Yannis Ioannidis

This lecture explains the concept of federated analysis in the context of medical data, associated challenges. The lecture also presents an example of hospital federations via the Medical Informatics Platform.

Difficulty level: Intermediate

Duration: 19:15

Speaker: : Yannis Ioannidis

This lecture gives an overview on the European Health Dataspace.

Difficulty level: Intermediate

Duration: 26:33

Speaker: : Licino Kustra Mano

This lecture presents the Medical Informatics Platform's data federation in epilepsy.

Difficulty level: Intermediate

Duration: 27:09

Speaker: : Philippe Ryvlin

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