This is a compilation has everything you need to jumpstart your skills in the core tasks of data transformation, modeling, and visualization.
tl;dr: Coursera and John Hopkins have a new course called The Data Scientist's Toolbox. https://www.coursera.org/course/datascitoolbox
Below is a list of popular analysis from Rexer's 2013 survey. The table is biased towards customer transaction, text,…
Added by Peter Higdon on March 25, 2014 at 9:01am — No Comments
There's a lot of confusing jargon and buzzwords in this new field. It helps to know who some of the major players are and what services they offer. This list is a mild introduction and far from exhaustive.
Amazon Web Services: Infrastructure as a service (IaaS). EC2 virtual servers, S3 storage, Mechanical Turk, analytics, and more.
Yandex: Russian competitor for google. Recently launched Cocaine server based on Docker.
Salesforce: Customer Relationship Management…Continue
When I stumbled upon the phrase "Data Scientist" 3 years ago, I immediately recognized it as my best prospect for a productive career. How to start? What are the tools of the trade?
This is the blog post I wish I could have read back then.
Many of the things I list here didn't exist or were unstable until recently.
I discovered the "predictive analytics" rabbit hole and started to read and watch whatever I could find on the subject. Upon watching the Gigaohm…