This is a guest post by Charles Ebert. Charles is a career mentor, motivational speaker & human resources consultant with over 10 years of experience in HR sector. �...
Banking is getting branch-less, contemporary and digital at a very fast pace. As banks compete to gain competitive advantage, the need for managing big data and analytics...
“Arguably the most significant development in information technology over the past few years, blockchain has the potential to change the way that the world approaches b...
This article was written by Thomas Maydon. Maydon is the Head of Credit Solutions at Principa and has primarily been involved in consulting, analytics, credit bureau an...
PostgreSQL is a commonly used database language for creating and managing large amounts of data effectively. Here, you will see how to: 1) create a PostgreSQL database us...
Let’s face it – cleaning data is a waste of time. If only the data had been collected and entered carefully in the first place, you wouldn’t be faced with days of d...
Summary: For those of you traditional data scientist who are interested in AI but still haven’t given it a deep dive, here’s a high level overview of the data scien...
Jupyter notebook content for my OReilly book, the Python Data Science Handbook. This repository contains the full listing of IPython notebooks used to create the book, i...
The digital universe is expanding. Not just the data collected, but also the devices that generate that data. It is estimated there will be over 20x connected devices per...
Few months ago, I wrote an article about the influencers in big data. The article resonated with many and almost all appreciated it. But that’s not the point. Soon afte...