Everyone wants their thinking to be “data-driven,” but what exactly does that mean in practice? Our expert shares a primer on what statistics can and can’t tell you.
The increasing digitization of society means a wealth of public data exists beyond traditional sources. Our expert argues that governments can use this data to make faster, more flexible policy decisions.
Analytics dashboards are a great way for data scientists to communicate insights to companies, but they can often be expensive and time-consuming to build. Streamlit is an easy-to-use library for Python that simplifies the process.
Knowledge graphs are becoming increasingly common thanks to their wide range of applications across industries. This guide introduces you to their basic principles and some examples.
In the big data arms race, companies might be tempted to invest heavily in sophisticated predictive models. But when it comes to forecasting, bigger isn’t always better.
Data analysts should work with data to derive insights for a business, but too often they spend most of their time on prepwork. Here’s how you can fix that problem.
