Top 10 Data Science Communities Every Data Scientist Must Knowby Analytics Insight October 25, 2020
Data scientists need to assemble predictive analytics workflow benefits to review on processes and algorithms. Data science techniques and tools are constantly evolving and only online resources can aid data scientists to keep up the pace. Even though when traditional models like reading books and journals give the understanding of fundamental concepts that benefit data scientists on a large-scale. The need for a community of experts to support the work of a data scientist has ignited a number of forums and groups where people seek help online. Henceforth, Analytics Insight is bringing a list of top 10 data science communities that professionals can take part in.
Kaggle is one of the world’s largest data science communities with powerful tools and resources. The community has around 3 million active members. Data scientists can find all the code and data they need for their data science work. They can use over 50,000 public datasets and 400,000 public notebooks to conquer any analysis in no time. Kaggle, a subsidiary of Google LLC, allows users to find and publish data sets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges. Kaggle started its community in 2010 by offering machine learning competitions. It later extended its services to a public data platform, a cloud-based workbench for data science, and artificial intelligence education.
IBM Data Science Community offers a constant stream of freshly updated content including featured blogs and forums for discussion and collaboration. The community provides access to the latest white papers, webcasts, presentations, and research uniquely for members, by members.
Reddit is a one-stop platform for reading on almost any topics with 40 million searches everyday and over 430 million monthly active users, and 1.2 million communities or subreddits. These subreddits represent the topic-based groups or community on Reddit that comprises users who want to publish and discuss news or stories with that topic. Data science is one of the famous subreddits that data scientists look for. Some of the top subreddits that every data scientists should join are r/datascience, r/dataisbeautiful, r/MachineLearning, etc.
Open Data Science is a global community that unites all researchers, engineers and developers around data science and related areas. It creates data science projects, and conducts events and educational courses. Data scientists in the community share their experience, which helps other sprouting data scientists to develop their skills.
Data Science Central is the industry’s online resource for data practitioners. It provides services starting from Statistics to Analytics, Machine Learning, Artificial Intelligence (AI) and Data Science Central. The platform gives a community experience that includes a rich editorial platform, social interaction, forum-based support, plus the latest information on technology, tools, trends, and careers.
Data Community DC is a non-profit organization committed to connecting and promoting the work of data professionals by fostering education, opportunity, and professional development through high-quality, community-driven events, resources, products and services. Data Community DC or DC2 has six meetup groups with over 5000 unique members, a board of 12 people, a blog, occasional workshops, and plans for bigger events in the future.
Stack Overflow is an open community for anyone that codes. This mainly helps data scientists who code, to get the answer for their toughest data science questions and share knowledge with co-workers. Slack Overflow serves 100 million people every month making it one of the 50 most popular websites in the world.
Dataquest has a data science community that allows access for all its students. The trained moderators and other learners help the data science students with their queries. The community is a go-to resource if data science students are stuck on a mission, encounter a platform issue, need advice or want feedback on the project.
Data Science Society is an international digital community. The platform has been building a strong core of members digitally around a body of data science knowledge while having fun. So far, data science Society has organized multiple data science meetups and international datathons with attendees from more than 20 countries.
DrivenData works on projects at the intersection of data science and social impact, in areas like international development, health, education, research and conservation, and public services. The platform works on giving organizations more access to the capabilities of data science, engage more data scientists with social challenges where their skills can make a difference. The DrivenData community has leveraged the luxury for the team to work with 35 organizations across 50 projects.