It can be a long and difficult task. It takes dedication, a good topic, a helpful advisor, some meetings, and a bit of paperwork. However, it is not impossible, and here are some tools to make it easier (hopefully). This is not intended to be a guide for selecting a topic. I am not qualified…
50 Top Open Source Tools for Big Data – Datamation. The list is about 6 months old, but it still covers all the ones I would have listed and quite a few more.
Michael Koploy wrote 3 Secrets for Aspiring Data Scientists about what it takes to enter a career as a data scientist. He lays out 3 steps: Sharpen Your Scientific Saw – Hone your math and science skills Learn the Language of Business – Data Scientists need to explain the data in business terms Keep Adding…