## Lesson type

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

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 Mathematics chapter of Datalabcc's "Foundations in Data Science" series.

Difficulty level: Beginner
Duration: : 2:53
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Primer on elementary algebra

Difficulty level: Beginner
Duration: : 3:03
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Primer on linear algebra

Difficulty level: Beginner
Duration: : 5:38
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Primer on systems of linear equations

Difficulty level: Beginner
Duration: : 5:24
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Primer on calculus

Difficulty level: Beginner
Duration: : 4:17
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

How calculus relates to optimization

Difficulty level: Beginner
Duration: : 8:43
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Big O notation

Difficulty level: Beginner
Duration: : 5:19
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

Basics of probability.

Difficulty level: Beginner
Duration: : 7:33
Speaker: : Barton Poulson
Course Name: : Foundations of Data Science
Lesson title:

This lecture covers computational principles that growth cones employ to detect and respond to environmental chemotactic gradients, focusing particularly on growth cone shape dynamics.

Difficulty level: Intermediate
Duration: : 26:12
Speaker: : Geoff Goodhill
Course Name: : Building the Brain

In this lecture you will learn that in developing mouse somatosensory cortex, endogenous Btbd3 translocate to the cell nucleus in response to neuronal activity and oriented primary dendrites toward active axons in the barrel hollow.

Difficulty level: Intermediate
Duration: : 27:32
Speaker: : Tomomi Shimogori
Course Name: : Building the Brain

In this presentation, the speaker describes some of their recent efforts to characterize the transcriptome of the developing human brain, and and introduction to the BrainSpan project.

Difficulty level: Intermediate
Duration: : 30:45