Everyone is now calling themselves a Data Scientist. No matter what position I am hiring for, that term is on over 80% of the resumes I look at. It has actually made me start to ignore the term because it is not a differentiator of talent any more.
The things they never tell you in statistics classes
Put the time and effort in early and it will make you a great programmer later on
Decision makers in the year 2020 will be facing many more data driven documents and charts than they did 10 or 20 years prior. But are those decision makers any better equipped to make accurate decisions in such a data rich environment?
I strongly believe that the field of data science could benefit greatly from a more frequent use of analogies in communication of key concepts.
I have pieced together ten simple questions that test how well someone knows what they are doing in R.
here are my top five tips for both interviewers and interviewees. Some might sound obvious, but read a little deeper and it might make you think.