Data analytics is the science of analyzing raw data to make conclusions about that information. It helps businesses perform ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Breaking into data analytics is not simply about learning a tool or two, but about building a blend of technical skill, ...

If you want to master, or even just use, data analysis, Python is the place to do it. Python is easy to learn, it has vast and deep support, and most every data science library and machine ...

Excel has been the go-to tool for data manipulation and analysis for years. However, Python, with its powerful libraries and scripting capabilities, is emerging as a strong contender. If you are ...

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.

If you’re decent in Python (or aspire to be) but don’t have the chops for advanced data work in Excel, Microsoft now offers the kind of peanut butter-and-chocolate combination that you may ...

The numerical and scientific computing capabilities of high-performance Python now extends to machine learning and data analytics.

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job. Among the many use cases Python covers, data analytics has become ...

With vast amounts of data, asset managers need sophisticated data analytics to derive insights. Here’s how to build a business case for advanced use cases.