I'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...

Cape Town based candidates only. The Senior Data Scientist will be responsible for developing, validating, and operationalizing advanced machine learning and AI models that support strategic business ...

Cape Town based candidates only. The Senior Data Scientist will be responsible for developing, validating, and operationalizing advanced machine learning and AI models that support strategic business ...

Explore the top 7 data science programs for business leaders in 2025. Learn which executive courses combine analytics, ...

Explore how data science transforms blockchain analysis, enhancing crypto security, scalability, and market insights.

AIOps isn’t just a buzzword — it helps teams predict issues before they happen and fix them automatically with smart, ...

Overview PyCharm, DataSpell, and VS Code offer strong features for large projects.JupyterLab and Google Colab simplify data ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

In this tutorial, we take a deep dive into the capabilities of Zarr, a library designed for efficient storage & manipulation of large, multidimensional arrays. We begin by exploring the basics, ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...