Overview Beginner-friendly books simplify Python, R, statistics, and machine learning concepts.Practical examples and projects make data science easier to under ...

At Springboard, we pair mentors with learners in data science. We often get questions about whether to use Python or R – and we’ve come to a conclusion thanks to insight from our community of ...

This article rounds up some of the most valuable free data science courses offered by top institutions like Harvard, IBM, and ...

The language R is in the midst of a sizzling resurgence this summer. One might hypothesize that this growth is coming at the expense of Python, by far the dominant language for data science. But some ...

Data queries written in Python, a commonly used programming language, can grind data analytics platforms to a crawl, but a new platform may finally solve the Python efficiency problem.

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.

In the war of Data Science tools, both R and Python have their own sets of pros and cons. Selecting one over the other should be done on the basis of certain criteria or attributes: Availability/Cost: ...

Data science and machine learning professionals have driven adoption of the Python programming language, but data science and machine learning are still lacking key tools in business and has room ...

Python may be the second choice to R, but its popularity and ease of use positions it to dominate data science.

To help you in your data science career, I’ve prepared the main Python concepts tested in the data science interview.