9 Data Science Communities to Join in 2021
9 Data Science Communities to Join in 2021
Data science is a great profession—but it also can be a lonely one. For many newly qualified data scientists, the primary few years out of school are a true challenge. Without the camaraderie and friendship provided by your peers, it can quickly begin to feel isolating. However, data science is actually an inherently social profession. Part of a knowledge scientist’s role is to figure alongside internal and external stakeholders to deliver key insights; outside of that, many data scientists wish to stay connected to their peers working in similar roles as how to get new ideas and methodologies. One of the best ways data scientists network with each other is through data science communities. In this post, we’ll run through the most popular data science communities and show you how you can get involved.
Technically, Kaggle may be a coding tool instead of a community intrinsically, but the Google-owned software is so popular among data scientists that it now boasts one among the most important data science communities in the world. Kaggle has mainly been built as a tool to guage and assemble teams across competitions. It allows you to seek out and publish data sets, explore and build models during a web-based environment, and share your work with other scientists and engineers. You can even enter competitions directly from the software, which offers over 50,000 public datasets and 400,000 public notebooks to deal with even the foremost complex challenges. Another extremely useful feature of Kaggle is that it provides free access to NVidia K80 GPUs in kernels. This benchmark shows that enabling a GPU to your Kernel leads to a 12.5X speedup during the training of a deep learning model. There are a lot of great resources on the way to start using the Kaggle during this way, including this guide. Best of all, the Kaggle community now has quite 3 million active members who can use Kaggle to share their work and expertise.
IBM Data Science Community
It might look a bit dated in 2020, but the IBM Data Science Community web pages are one of the best sources around for expert-level insight into today’s pressing data science challenges. This community has been around for much longer than many of the others on this list, which means a number of the legends of the industry are often found blogging, podcasting, and even answering direct questions. In short, the IBM Data Science Community may be a excellent spot to go to if you're seeking specific guidance from an industry pro. It’s a touch less newbie-friendly than a number of the opposite communities here, but that’s not necessarily a nasty thing.
Reddit might sound sort of a strange choice if you're trying to find knowledgeable network, being better known for sharing memes than addressing complex scientific questions. However, in some cases, it’s actually better to use social networks, instead of their professional ones, because you'll communicate more freely together with your peers. There are many resources for data scientists on variety of key subreddits, like r/datascience, r/dataisbeautiful, and r/MachineLearning. r/dataisbeautiful may be a largely visual subreddit; r/datascience is more introductory; and r/machinelearning is more for hardcore discussion of papers. The advantage of discussing your problems on an anonymous network is that your employer will never know what you really consider their new project.
Open Data Science
Open Data Science is a community organized around particular, high-level projects. This site aims to act as a bridge between people working in all the different sub-areas of data science—not just engineers and scientists—but developers and students. Members of the community can suggest and make projects, which are as diverse because the members of the community, then invite others to figure collaboratively toward an answer.
Data Science Central
Data Science Central is arguably the most important data science community out there, a minimum of in terms of the raw number of contributors it attracts. The bar to entry to post is low, which suggests content quality varies, as nearly anybody can post. This is the place to travel if you're looking to urge on top of the newest trends within the industry or to listen to about new jobs before they are officially announced. Data Science Central is predicated around a forum system, but also includes an article platform for experts to share their knowledge via personal blogs. There is also a reasonably extensive suite of social interaction tools to form connecting with peers easy.
Data Community DC
Data Community DC (DC2 for short) is run on a slightly different model from the other communities on this list. Instead of being a purely volunteer-run affair, DC2 may be a non-profit, based in Washington DC, that aims to market and progress the work of knowledge scientists within the US. To this end, DC2 offers a variety of services to contributors. The core aim of the community is to encourage education in data science. To this end, its put established professionals in-tuned with local schools, where they participate in events that are designed to inspire subsequent generation of knowledge scientists. For those outside the capital, the community also features a lot to supply, though: DC2 has six meetup groups with over 5000 unique members, a board of 12 people, a blog, occasional workshops, and plans for bigger events within the future.
Stack Exchange often gets forgotten about by data scientists, who tend to ascertain it as an area for developers to debate the intricacies of latest web frameworks. Actually, however, the community is now so big, then diverse, that it covers a huge range of tech subjects, data science included. In addition, the very fact of the matter is that in 2020 most scientists also are coders. And if you've got an issue about coding, need someone to point out you ways to realize something, or maybe want to rent a developer to create some software for you, Stack Exchange should be your first port of call.
Data Science Society
The Data Science Society is an initiative of graduate students at Berkeley and is one among the foremost exciting data science communities around at the instant. This community has taken the lead in encouraging minorities and ladies to coach in data science. This is often the place to travel if you're looking to seek out people that share your values and politics, while also sharing the technical and scientific skills needed to form a difference.
Driven Data is concentrated on using data science to make a far better world. This community focuses on putting variety of key stakeholders in-tuned, and not just data scientists and coders, but also activists and lawyers, all of whom are working toward socially progressive goals. It’s never been more important to be a part of the info science community, whether this is often to get new project ideas, improve your skills, or just to remain sane in these strange times.