Overview: Free datasets are essential for practice, research, and AI model development.Platforms like Kaggle, UCI, and Google ...

IBM Data Science Professional Certificate teaches Python, SQL, data visualization, and machine learning with hands-on ...

Databot is an experimental alternative to querychat that works with R or Python. And it’s now available as an add-on for the ...

Python for Data Science Essential Training is one of the most popular data science courses at LinkedIn Learning. This is course 1 of 2. In this course, instructor Lillian Pierson takes you step by ...

Courses that stagnate after launch quickly lose value in a tech landscape where yesterday’s skills can become outdated ...

Data science projects don’t take as much time to stand up and get running in Python as they might in other languages.

I've identified collaboration as one of the critical gaps that organizations must bridge to transform their data science success rates.

Nvidia wants to extend the success of the GPU beyond graphics and deep learning to the full data science experience. Open source Python library Dask is the key to this.

A big new developer survey shows that Python has finally passed Java in the programming language popularity wars, propelled by its propensity for use in machine learning and data science projects.

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.