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Kaggle: A renowned platform for data science competitions, datasets, and community discussions. It offers a wide range of challenges and opportunities to learn from experts.
CrossValidated: A question-and-answer site dedicated to statistics and data analysis. Users can ask questions, provide answers, and participate in discussions on various topics.
Data Science Central: A community-driven website with articles, tutorials, and forums for data scientists. It provides a space to connect with others and learn new skills.
RStudio Community: A vibrant community focused on the R programming language and its ecosystem. Users can share code, ask questions, and discuss R-related topics.
Python Community: A large and active community of Phone Number Python developers, including many who use Python for data science and statistics. Popular platforms include Stack Overflow and Reddit's r/python.
Julia Discourse: A forum for discussing the Julia programming language, which is gaining popularity in the data science community due to its performance and ease of use.
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Biostatistics Central: A community for biostatisticians and researchers working in the life sciences.
Finance Quantitative Research Network: A network for quantitative researchers in the finance industry.
Data Science for Social Good: A community focused on using data science to address social and environmental challenges.
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