2016 Data Science Salary Survey and More | (Free eBook)

IN THIS FOURTH EDITION of the O’Reilly Data Science Salary Survey. They analyzed input from 983 respondents working in the data space, across a variety of industries— representing 45 countries and 45 US states.

Through the results of their 64-question survey, They’ve explored which tools data scientists, analysts, and engineers use, which tasks they engage in, and of course—how much they make. READ MORE

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How AirBnB Scaled from 5 to 70+ Data Scientists in 2 Years (via Kaggle)

In 2013, Airbnb had a small, centralized team of five data scientists serving the data needs of the company. Since then, they have grown to become one of the largest, most innovative startup teams with over 70 data scientists now serving separate business units. In addition to setting a consistently high bar on new hires and focusing on technical mentorship from peers, the structure of the organization has been key to successful growth. Read More

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LIST | 500+ Data Science Degrees and Certificates from Universities (via Data Science Central)

“This list of 500+ was started in 2012, updated in 2014 and also very recently according to the author. It was compiled by 101.datascience.community, and broken down by degree (master / bachelor / certificate / doctorate) and location (online / on-site.)” – Source Data Science Central Read More

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50+ Open Source Tools for Big Data

Open source software tools have become all the rage, especially around big data and that is a GOOD thing. It allows for many players to work off of the same code base to build more add-on tools and it’s cheap and easy for the masses to get set up and use them. Hadoop, R, Cassandra, Mongo DB, Neo4i and HBase are among the most popular, but there are many more.

I have accumulated 3 lists that are very popular. Please let me know if you see things missing and I’ll attempt to create one large master list and post it on the site. Read More…

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Guide | How To Obtain a FREE “Open Source” Masters in Data Science

A FREE Masters in Data Science. More and more people are learning on-line via the flood of excellent “open source” resources of classes, ebooks, software, etc. Clare Corthell has created a website to allow anybody to take virtually the same curriculum offered for a Masters in Data Science for Free.

Will it be an official Masters? No, but an official Masters is not always what is needed. Often its the knowledge and experience working with the tools and techniques necessary to actually do Data Science. For some, this free curriculum will allow business-line leaders, Analysts and Programmers from other fields to fill in the education gaps and get better at their job, as well as, one step closer to being an actual Data Scientist. Read More

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Edu-Video | What has Kaggle learned from 2 Million Machine Learning models

Kaggle is a community of almost 450K data scientists who have built nearly 2 million machine learning models to participate in its competitions. Data scientists come to Kaggle to learn, collaborate and develop the state of the art in machine learning. This talk will cover some of the lessons on winning techniques we have learned from the Kaggle community. Watch Video

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