In PostgreSQL, MonetDB, and Too-Big-for-Memory Data in R — Part I, I began to discuss how data that was too big for RAM is handled in R, a memory-constrained stati...
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 this article we discuss popularity of various software programs used for data analysis which are mentioned in various reviews published online in the period between 20...
In our previous articles, we have discussed the top Python libraries for data science. This time we will focus on Scala, which has recently become another prominent langu...
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...
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...
If you are on Facebook, you’ve probably seen their ads to attract candidates to data science positions. You’ve probably seen ads featuring many young women wo...