Big data and data science

scratch

>>59480078
Step 1) Get into statistics
Step 2) Learn about machine learning
Step 3) Learn R and Matlab and some meme machine learning framework, for example Tensorflow (which also requires you to learn Python and some CUDA)

use
y = mx + b
works every time

>>59480178
Close y=log(x)

>>59480078

First, understand what "data science" is and what companies think it is and recruit for.

Data science is just statistics where the practitioner also uses COTS or bespoke data gathering solutions that primarily gather huge amounts of data.

What companies tend to hire for are one of the following:

a.) Someone who is really a BI person. Think BusinessObjects, Tableau, Qlik, etc. They can do some SQL queries and can setup reports.

b.) A data integration specialist. They can run an MFT, build web data connectors, and gather lots of data, clean it, and make it easy to consume for Excel or a reporting toolset.

Very few companies hire a data scientist to do statistics and data gathering. They usually just hire a statistician if they want to do that.