While demand for data analysts is at an all-time high, the online community still leaves some to be desired. It can be difficult to find good, unbiased online resources and websites dedicated to data professionals. We’ve asked our own data analysts to tell us about some of their favorite sites and created this list of must-follow forums, data analytics blogs, and resource centers. We’re sure there are many additional great ones out there, so if you know of any please tell us in the comments!
List is organized in alphabetical order.
Part of the Stack Exchange network of Q&A communities for developers, Cross Validated is a Q&A site for statistics, machine learning, data analysis, data mining, and visualization. A great place if you’re stuck with a professional question and need answers from fellow professionals.
Mr. Seroussi is an independent data scientist and computer programmer who posts about solving practical problems in data science analytics (such us migrating a web app from MongoDB to Elasticsearch). The blog is fluently written and highly detailed, complete with relevant code samples.
Run by Kunal Jain, this site focuses on creating a community focued on the study of analytics. You can find a ton of Kunal’s analytics learnings and tips plus engaged with other members of the greater analytics community.
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A blog of sorts, written by Curt Monash of Monash Research and covering database management, data analytics, and related technologies. Offers well-written, comprehensive and vendor-neutral analysis from a technical and business perspective.
DZone is an online community that publishes resources for software developers and covers topics from big data, AI, data science, and analytics. Their material is sourced from community members as well as influcencers within the tech space.
While this blog is not updated very frequently, every post is a fascinating example of practical data analysis, often applied to a real-life use case, along with many clear and intuitive explanations of complex concepts in data science and machine learning.
KDnuggets is one of the leading big data, data science, and machine learning sites. Content is from contributor, but edited by Gregory Piatetsky-Shapiro and Matthew Mayo, and ranges between tutorials to opinion pieces and everything inbetween.
While this website requires registration, it’s absolutely free to do so and once you’re in you have access to literally thousands of examples and suggestions for key performance indicators across dozens of industries, frameworks and business processes.
A site maintained by three professors of biostatistics, featuring a variety of articles and additional media on statistical techniques and deep data analysis. There are practical examples as well as theoretical material and the site is updated fairly regularly.
The articles here are contributed by six different writers, each writing from their own practical experience in modeling and analyzing data and covering a wide range of categories and topics.
Content hub that aggregates RSS feeds of bloggers who write about the popular open-source R language, and a great place to keep your R knowledge up to date and see what’s new in the R community.
Gil Press is a thought leader in the Big Data sphere and has contributed in developing some of the milestones in estimating the size and growth of digital data. His personal website and Forbes column are a great source for news and commentary on Big Data, data science, IoT and related topics.