This is the third and final lecture of this course on neuroinformatics infrastructure for handling sensitive data.

Difficulty level: Beginner

Duration: 1:11:22

Speaker: : Michael Schirner

In this lecture, you will learn about virtual research environments (VREs) and their technical limitations, (i.e., a computing platform and the software stack behind it) and the security measures which should be considered during implementation.

Difficulty level: Beginner

Duration: 1:06:50

Speaker: : Marc Sacks

This lesson consists of a panel discussion, wrapping up the INCF Neuroinformatics Assembly 2023 workshop *Research Workflows for Collaborative Neuroscience*.

Difficulty level: Beginner

Duration: 25:33

Speaker: :

This brief talk outlines the obstacles and opportunities involved in striving for more open and reproducible publishing, highlighting the need for investment in the technical and governance sectors of FAIR data and software.

Difficulty level: Beginner

Duration: 8:38

Speaker: : Jean-Babtiste Poline

This brief video provides a welcome and short introduction to the outline of the INCF Short Course in Neuroinformatics, held Seattle, Washington in October 2023, in coordination with the West Big Data Hub and the University of Washington.

Difficulty level: Beginner

Duration: 4:58

Speaker: : Ariel Rokem

This opening lecture from INCF's Short Course in Neuroinformatics provides an overview of the field of neuroinformatics itself, as well as laying out an argument for the necessity for developing more sophisticated approaches towards FAIR data management principles in neuroscience.

Difficulty level: Beginner

Duration: 1:19:14

Speaker: : Maryann Martone

This lesson aims to define computational neuroscience in general terms, while providing specific examples of highly successful computational neuroscience projects.

Difficulty level: Beginner

Duration: 59:21

Speaker: : Alla Borisyuk

This lecture covers a wide range of aspects regarding neuroinformatics and data governance, describing both their historical developments and current trajectories. Particular tools, platforms, and standards to make your research more FAIR are also discussed.

Difficulty level: Beginner

Duration: 54:58

Speaker: : Franco Pestilli

This lesson gives an in-depth description of scientific workflows, from study inception and planning to dissemination of results.

Difficulty level: Beginner

Duration: 44:41

Speaker: : Yaroslav O. Halchenko

Course:

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

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