Another reason self-paced learning is so effective is that it mirrors how professionals work in real life. Data science ...

Stefanie Molin's new book, “Hands-On Data Analysis with Pandas" is about using the powerful pandas library to get started with machine learning in Python.

Yhat, a startup that makes software to let data scientists work together on projects, today revealed Rodeo, an interesting new open-source tool for working with data in the browser.

Students in the Bridge to Data Science Pathway may be required to complete one or more of the following courses (up to 7 credits).Courses should be taken in the first year and are subject to Graduate ...

Anaconda Python Anaconda has come to prominence as a major Python distribution, not just for data science and machine learning but for general purpose Python development as well. Anaconda is ...

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job.

Both data science and machine learning are highly desired skills from employers, and this bundle covers some of the most important learning frameworks for Python data science, like Tensorflow and ...

One of my favorite places to learn data science is an under-the-radar educational website, DataCamp. DataCamp doesn't get nearly the attention that some of the larger, more well-funded online ...

What are some use cases for which it would be beneficial to use Haskell, rather than R or Python, in data science? This question was originally answered on Quora by Tikhon Jelvis.