As data science gets more popular, so does the number of groups and resources committed to it. Whether you're just starting or have been working in the area for years, several resources are available for help, education, and cooperation.
1. Reddit: Reddit is one of the web's largest and most active data analytics communities. It's a terrific place to ask questions, exchange thoughts, and stay current on the latest news and advancements in the area, and it has over 1.5 million members.
2. Kaggle: Kaggle is an excellent place to begin. Kaggle is one of the largest online data science slack channels, with over 1.5 million users. You can discover datasets, code samples, and discussion forums for any data science topic imaginable.
3. IBM Data Community: There are several ways to participate in the data analytics forum, and IBM Data Community is an excellent resource for data scientists of all levels of expertise. The community provides a variety of materials, such as blogs, articles, webinars, and online courses.
4. Tableau: Tableau Public is one of these. If you use Tableau to visualize data, this is the community for you. Tableau Public is a free online platform where you can share your visualizations with the rest of the world. You may also look at other data scientists' work, get comments on your own, and engage in challenges and contests.
5. Stack Overflow: You may discover solutions to queries regarding coding, data analysis, machine learning, and other topics on Stack Overflow. You can also ask your questions and receive responses from the community. Furthermore, Stack Overflow provides various tools for data scientists, such as articles, tutorials, and courses.
6. Open Data Science: If you're searching for a comprehensive data science community, Open Data Science is a beautiful place to start. It is one of the largest online groups for data scientists, with over 30,000 members. In addition to a jam-packed Slack channel, Open Data Science provides many resources such as publications, courses, events, and employment.
7. Data Science Central: It's one of the largest online groups for data scientists, with over 600,000 members. Several resources are available on the site, including articles, tutorials, webinars, and an active community where users may ask questions and discuss their work. Data Science Central is an excellent resource in your toolbox at any level of your data science journey.
8. Dataquest: Dataquest is a fantastic resource. They provide articles, webinars, and courses on various topics ranging from machine learning to deep learning. It's also a terrific location to compete in data science challenges and learn from the finest in the industry if you prefer a more hands-on approach.
9. Driven Data: Driven Data is among the most well-known data science communities. Driven Data organizes challenges and contests that are available to anybody with an interest in data science. This is a terrific opportunity to exercise your coding muscles and put your problem-solving abilities to the test.
10. Data Community DC: Data Community DC is a Washington, DC-based professional network for data scientists. The group provides its members with various services and activities, such as monthly gatherings, an online forum, and a mentorship program.
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