In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

In the analysis of big data sets, the first step is usually the identification of "features" -- data points with particular predictive power or analytic utility. Choosing features usually requires ...

Spreadsheets are still useful, but if you do a lot of work with numbers, you'll realize that they have limitations.

Overview: Statistical analysts turn varied datasets into clear insights that support decisions across sectors.Strong skills ...

Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks. Learning to code, whether with Python, JavaScript, or another ...

What are some use cases for which it would be beneficial to use Haskell, rather than R or Python, in data science? originally appeared on Quora: the place to gain and share knowledge, empowering ...

Compliance has long been reluctant to tap the power of its organization’s data. Some of that hesitancy is institutional, either through inertia or outright hostility. Data is often kept in siloes, ...