What are the differences between gathering and analyzing quantitative and qualitative information? Better yet, how can you develop these skills and use this knowledge in a real-world job? Quantitative ...

Imagine, for a moment, that you’re an HR leader assessing performance data at your company. There’s a manager whose performance metrics indicate an exceptional track record, and their department ...

The magnitude of urban disasters in high population densities – combined with complex social, political, economic and institutional environments – has challenged the manner in which humanitarian ...

David Schiffer is the CEO of RevBits and formerly of Safe Banking Systems (SBS). RevBits develops cybersecurity software for organizations. Throughout my career in the cybersecurity industry, I've ...

First-of-its-kind collaboration will result in like-for-like, actionable data for IT vendors and distributors across Asia Pacific, North America, Europe, and the Middle East markets Three powerhouse ...

Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out. Novice data scientists sometimes have ...

Today, over half of all internally displaced persons (IDPs) and refugees are living in cities. This means that forced displacement is both a humanitarian and development challenge, given that ...