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

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 Community

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.

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