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Data science is a fascinating technology that is rapidly evolving. To keep up with the industry, one needs to be prepared to spend some time doing some research and brushing up on skills and knowledge. Whether you’re a professional working in the field of data science or an aspirant who is just getting started, it is always considered to be a good practice to be connected with resources that keep you in touch with the current trends.
There are plenty of resources spread across the Internet, but they can sometimes get a little overwhelming. We have listed down 9 of the most useful blogs that are frequently updated and will not only help you in staying connected with trends in data science but will also offer advice and learning resources.
Data Science Central
Started out in 2012, Data Science Central is one of the industry’s leading and fastest growing Internet community for data practitioners. Whether it is data science or machine learning or deep learning or big data, Data Science Central is a one-stop shop that covers a wide range of data science topics that includes technology, tools, data visualisation, code, and job opportunities. Also, many industry experts contribute to the community forum for discussion or questions. This blog has more than 130,000 followers on Twitter.
KD Nuggets
With over 80 awards, KDnuggets is a leading online resource for big data practitioners. Managed by co-founder Gregory Piatetsky-Shapiro and editor Matthew Mayo, KDnuggets’ posts are usually on the deeper side unlike some of the surface-level-information blogs.
Being a leading publication with more than 25,000 followers on Facebook and 136,000 followers on Twitter, the site is updated multiple times a day.
Kaggle (No Free Hunch)
Founded in April 2010, Kaggle is an online community for data science enthusiast and machine learners. The Google-owned platform allows its users to not only find and publish data sets, but also lets them explore and build models, work with other data scientists and ML engineers, and participate in competitions to solve some of the data science challenges.
No Free Hunch is a Kaggle’s blog, a platform for data science-related competitions. Talking about why to follow this blog, the competitions alone are a good reason to have this site on your radar. But that is not the only thing — apart from posting about upcoming competition and project opportunities, No Free Hunch also provides useful information such as general industry news and helpful tutorials. Kaggle has more than 133, 000 followers on Twitter and over 52,000 followers on Facebook.
InsideBIGDATA
Started out on August 2011, InsideBIGDATA is a platform for news, strategies, products and services from the world of Big Data. With a focus on the machine learning side of data science, InsideBIGDATA has become very popular among data practitioners. As the name suggests, the platform covers big data in several verticals which include IT and business as well as machine learning, deep learning, and artificial intelligence.
Simply Statistics
Run by three biostatistics professors — Jeff Leek, Roger Peng, and Rafa Irizarry, Simply Statistics is a platform about statistics in big data and how they are used by data scientists to solve real, important problems. From articles to interviews to courses, Simply Statistics has been providing valuable content since inception. Also, you can follow Simply Statistics on Twitter (more than 57,000 followers) and check them out on GitHub.
Data Science 101
Run by Ryan Swanstrom, Data Science 101 started in 2012 and today, it is one of the leading blogs that provides resources for learning data science. Over the years, Swanstrom has worked with some of the big names like Microsoft and Wells Fargo. In Data Science 101, he shares not only study resources but also his experience in the field. So, if you are in the field of data science, Data Science 101 is worth diving into.
Dataconomy
Another useful resource for a data scientist is Dataconomy, a hub for all prospective data scientists. It is basically a global network of industry-renowned contributors and local communities all across Europe who share their knowledge and opinions on the platform and also, it is a great platform for data science news and events.
Data Science Report
Data Science Report is a data-centric blog run by a speciality executive search firm called Starbridge Partners. Whether you are an intermediate level data scientist or a pro, Data Science Report has got resources for all — it delivers resources from all variety of formats to help the reader in understanding data science properly.
Data Science & Psychology
Run by a Chief Data Scientist, Ravi Iyer, Data Science & Psychology is one of the interesting blogs that every data scientist should follow. The name itself is so catchy that the blog attracts a lot of readers across the industry. With a very uncommon approach for analytics, the blog focuses on exploring societal trends, ethics, and morality through the lens of data.
The post 9 Best Data Science Blogs To Follow In 2019 appeared first on Analytics India Magazine.