Data science: All content tagged as Data science in NoSQL databases and polyglot persistence
A long list of links, books, and online courses for learning yourself some “data science”(the official project page is here, but I prefer the GitHub page).
Put together by Clare Corhell:
I didn’t want to wait. I wanted to work on things I care about now. Why sleep through grad school lectures tomorrow when you can hack on interesting questions today?
Original title and link: The Open Source Data Science Masters Curriculum ( ©myNoSQL)
If you want to make data science look simple, this is the workflow driving a data scientist:
Taked from Josh Willis’s talk From the Lab to the Factory: Building a production machine learning infrastructure.
Original title and link: The data science workflow ( ©myNoSQL)
My client is one of the largest professional services firms in the world and they are looking for very senior data analytics experts who can apply his/her advanced analytics, predictive modeling, and data visualization skills to the fraud/dispute arena. Exceptional compensation packages are available in the $300,000 to $500,000 range for the appropriate technical and leadership experience.
There’s no denial of the fact that data scientists are hot and Darrow is not the first one writing about it. Hal Varian, Chief Economist at Google, said many years ago: “I keep saying that the sexy job in the next 10 years will be statisticians”. Many others have already agreed that the future belongs to the companies and people that turn data into products. And I remember reading recently about some reports mentioning 150-200,000 jobs in this market in the next couple of years.
On the other hand though, there are various myths about data scientists’ role. Job descriptions will mention many years of experience with Hadoop and Big Data. But even if there are some hints about what makes a good data scientist and how to hire the right data geeks, there’s no alignment on what data science is and what is involved in the role of the data scientist.
This still feels like the early days when requirements and expectations are changing overnight. But these are also the days when most of those involved are having a lot of fun learning and discovering new ways to deal with data and defining the tomorrow.
Original title and link: Data Scientists Are Hot ( ©myNoSQL)