Top 10 Data Science Communities Every Data Scientist Should Know |


by Analytics Insight


25 october 2020

Data scientists must unite the benefits of predictive analytics workflow to examine processes and algorithms. Data science techniques and tools are constantly evolving, and only online resources can help data scientists keep pace. Even though traditional models like reading books and journals provide an understanding of fundamental concepts that benefit data scientists at scale. The need for a community of experts to support the work of a data scientist has sparked a number of forums and groups where people seek help online. Now, Analytics Insight offers a list of the top 10 data science communities that professionals can participate 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 job. 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 search and publish datasets, 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 launched his community in 2010 by offering machine learning contests. It then extended its services to a public data platform, a cloud-based workshop for data science, and education in artificial intelligence.

The IBM Data Science community offers a constant stream of newly updated content, including blogs and forums for discussion and collaboration. The community provides access to the latest white papers, webcasts, presentations and research only for members, by members.

Reddit is a one-stop-shop for reading on almost any topic with 40 million searches per day and over 430 million monthly active users, and 1.2 million communities or subtitles. These subreddits represent the thematic groups or community on Reddit that include users who wish to post and discuss news or stories with that topic. Data science is one of the famous subreddits that data scientists are looking for. Some of the best subreddits that all data scientists should join are r / datascience, r / dataisbeautiful, r / MachineLearning, etc.

Open Data Science is a global community that brings together all researchers, engineers and developers around data science and related fields. He creates data science projects and organizes educational events and courses. Data scientists in the community share their experience, which helps other data scientists develop their skills.

Data Science Central is the industry’s online resource for data practitioners. It provides services ranging from statistics to analytics, machine learning, artificial intelligence (AI) and Data Science Central. The platform offers a community experience that includes a rich editorial platform, social interaction, forum-based support, as well as 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, opportunities and professional development through community events, resources, products and services. High quality. Data Community DC or DC2 has six meetup groups with over 5,000 unique members, a 12-person board of directors, a blog, occasional workshops, and plans for larger events in the future.

Stack Overflow is an open community for anyone who codes. This primarily helps data scientists who code, get their toughest data science questions answered, and share their knowledge with their colleagues. 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 to all of its students. Trained moderators and other learners assist 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 built a strong core of members digitally around a data science body of knowledge while having fun. So far, the Data Science Society has organized several international data science meetings and datathons with participants from over 20 countries.

DrivenData works on projects at the intersection of data science and social impact, in areas such as international development, health, education, research and conservation, and public services. The platform aims to give organizations better access to data science capabilities, engage more data scientists with social challenges where their skills can make a difference. The DrivenData community took advantage of the luxury for the team of working with 35 organizations on 50 projects.

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Analytics Insight is an influential platform dedicated to insights, trends and opinions from the world of data-driven technologies. It monitors the developments, recognition and achievements of artificial intelligence, big data and analytics companies around the world.

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Sean N. Ayres