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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:

JupyterHub is a simple, highly extensible, multi-user system for managing per-user Jupyter Notebook servers, designed for research groups or classes. This lecture covers deploying JupyterHub on a single server, as well as deploying with Docker using GitHub for authentication.

Difficulty level: Beginner
Duration: : 1:36:27
Speaker: : Thomas Kluyver.
Course Name: : Jupyter Notebook