In this latest Data Science Central Webinar you will get an inside look at what it means to be a Data Scientist. You’ll learn from a Practicing Data Scientist Profess...
Introduction Exploratory Data Analysis (EDA) is an approach/philosophy for data analysis that employs a variety of techniques (graphical and quantitative) to better under...
In a world where data really matters, everyone wants to create effective charts. But data visualization is rarely taught in schools, or covered in on-the-job training. Mo...
This article was written by John Hammink. John is Chief Evangelist for Treasure Data. An 18-year veteran of the technology and startup scene, he enjoys travel to unusua...
Tuesday of Strata Data Conference is my favorite of the four days. The calm before the storm of the keynotes and short presentations of Wednesday-Thursday, Tuesday revolv...
Labels are how humans define and categorise different concepts. There’s lots of evolutionary psychology, neuroscience and linguistics behind this, but without going int...
To understand how skills in actuarial science can be applied to investment banking we need to understand what actuarial science deals with. So what is actuarial science? ...
This article was written by Margarita Shilova. Datafication is a buzzword of the last several years, that is used actively along Big Data industry. Honestly, if you wou...
Some time ago I met a colleague who expressed her disappointment from two data scientists that she hired. These were the first employees with a data science degree hired ...
The list below is a (non-comprehensive) selection of what I believe should be taught first, in data science classes, based on 30 years of business experience. This is a f...