This post was written by Dallin Akagi and Mark Steadman. This short tutorial will not only guide you through some basic data analysis methods but it will also show you ho...
It’s been a rather quiet summer on Data Science Central with fewer blog posts being published than at other times of the year, but I guess it shouldn’t be too much of...
The data science ecosystem: R vs Python vs Substitutes In this post, I show a network analysis of the R and Python ecosystems in terms of their competitors. The objec...
By Dan Kellett, Director of Data Science, Capital One UK Over the past few months my blogs have attempted to demystify some of the techniques used by Data Scientists to b...
This is a collection of 10 great GitHub repositories focusing on IPython, TensorFlow, Theano and related topics, for data scientists. The last one is not on GitHub. . The...
Data Science is the system used to extract insights from data that’s mined from various sources. Using various techniques including predictive modeling, Data Science he...
This was the subject of a popular discussion recently posted on Quora: 20 questions to detect a fake data scientist. We asked our own data scientist, and he came up with...
For those of you who wish to begin learning Python for Data Science, here is a list of various resources that will get you up and running. Included are things like online...
Here are some white papers about Tamr, Lavastorm, Teradata, Rapidminer, Looker, Thingworx, and DataRobot : Tamr Three Problems that Sabotage Analytics and How to Fix Them...
Reading some recent blogs, I sense a level of angst among Data Science practitioners about the nature of their field. What exactly IS Data Science – a question that...