Three Principles of Data Science: Predictability, Stability, and Computability

Three Principles of Data Science: Predictability, Stability, and Computability

In this talk, Bin Yu, professor at UC Berkley, discusses the intertwining importance and connections of three principles of data science. The three principles will... Details
How to Become A Data Scientist?

How to Become A Data Scientist?

In this video from PyData DC, Renee Teate explains what it takes to become a data scientist. Details
How do We Democratize Access to Data?

How do We Democratize Access to Data?

Watch the one and only Siraj Raval explain the wonders and vision of OpenMined, a community focused on building technology for decentralized ownership of data... Details
How Did Python Become A Data Science Powerhouse?

How Did Python Become A Data Science Powerhouse?

One of the first things you notice about Data Science is how dominant the Python language is within the field. Jake VanderPlas explains how this... Details
Joy of Data Documentary

Joy of Data Documentary

The BBC has a great documentary that I have referenced several times on Data Driven. Now, it’s available on YouTube and it is well worth... Details
Map, Filter, and Reduce Functions in Python

Map, Filter, and Reduce Functions in Python

The map, filter, and reduce functions in Python simplify the job of working with lists. In this lesson, learn how to use each function. Details
Astrophysics to Data Science

Astrophysics to Data Science

Kathryn Harris explains her transition from academia as an astrophysicist to private industry as a data scientist. Details
Data and Disasters

Data and Disasters

Sixteen years ago, I was fortunate to survive a situation that many had not.  Now on the 16th anniversary of the terrorist attacks of 9/11,... Details
Democratizing Data Science

Democratizing Data Science

Not too long ago, Data Science was only for the elite few with a rare combination of skills including advanced knowledge of statistics. In the... Details