This article is a good overview on the why of data science and statistical-based decision marking, but doesn't discuss much of the how and the various warnings that occur during the process (i.e. data gathering/fidelity issues which invalidate models)
The article is marketing for a data science bootcamp which likely answers those questions. There has been a lot of discussion on HN about the merits of bootcamps for developers, but not much about the merits of bootcamp for statisticians, or even the entire hiring workflow in that field.
I've been looking into Data Analyst/Science jobs at companies in the San Francisco Bay Area and almost every position wants a Masters/PhD, either explicitly stated as a requirement or implied. If there is a high demand/low supply of data science jobs out there, I'm unsure how a data science boot camp/tutorial would be able to compete.
I've been researching various masters programs and bootcamps, including talking to graduates of both.
My sense is that while there's a huge variance in quality on both, the median bootcamp seems to be more in touch with industry and better at imparting real-world skills than the median master's program. I'm not sure if employers have started to recognize this yet (from your comment, it seems that they haven't). But once the feedback loop completes, I'd wager that they will.
Also, getting a graduate degree and attending a data science bootcamp doesn't seem to be mutually exclusive. For instance, there are data science bootcamps that specifically target PhDs.
Yeah, there a bunch of bootcamps for people who have statistics or statistic-heavy PhDs that need to translate those skills from the academic to tech company context. Tends to work out pretty well.
The article is marketing for a data science bootcamp which likely answers those questions. There has been a lot of discussion on HN about the merits of bootcamps for developers, but not much about the merits of bootcamp for statisticians, or even the entire hiring workflow in that field.
I've been looking into Data Analyst/Science jobs at companies in the San Francisco Bay Area and almost every position wants a Masters/PhD, either explicitly stated as a requirement or implied. If there is a high demand/low supply of data science jobs out there, I'm unsure how a data science boot camp/tutorial would be able to compete.