Data Science Communities

Kaggle offers a no-setup, customizable, Jupyter Notebooks environment. Access free GPUs and a huge repository of community published data & code.

The subreddit to discuss all things Machine Learning!

This is a group for professional developers and users of the Python programming language to expand our knowledge, skills & network.

Topics: Machine Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP), Neural Networks, Pattern Recognition, Predictive Analytics, Recommender Systems and the broader area of Artificial Intelligence (AI) & Machine Intelligence.

A place for data science practitioners and professionals to discuss and debate data science career questions.

Share high quality articles (long reads, cases studies, coding tutorials), opportunities, learnings & best practices! Discuss ideas, tools & frameworks.

Learn Data Science & Machine Learning, with programming languages R and Python, in this beginner Facebook group.

Learning or working with AI in your programming journey? Join us in a Discord Community with close to 10 000 members! Where you can ask questions, find teammates, share your projects, and much more!

Welcome to the dbt community! Introduce yourself to your new peers, ask questions, and share what you know. The dbt Community is where analytics engineering lives and grows, and you're a part of it! Your dbt Community Account gives you access to Slack and the Community Forum.

Learn data science and programming with Dataquest's forum community of students, teachers, and pros in Python, R, and statistics.

The DHIS2 Community of Practice is a global, human-centered network that connects users, implementers, and developers to collaboratively address real-world challenges. It serves as a vital forum for sharing innovations and knowledge, fostering continuous improvement and local ownership of DHIS2 solutions for public good.

A space to share data, statistics, visualizations, telemetry pertaining to Formula One!

DataTalks.Club is the place to talk about data. It's a community of aspiring and professional data enthusiasts.

An active text and voice chat discord community dedicated to business data and analytics. This is a healthy and supportive aata community where we hold mock interviews, solve ML difficulties and more. Whether you are beginner or an expert in the data field you will absolutely find something that interests you.

We're a community focused on education through application. We bring together people with an interest in Machine Learning, Data Engineering, Frontend Development, UX Design and build projects together in teams focused on shipping our products in short periods of time.

A community for product people that want to learn data-driven product management, AI/ML product management, and growth. With founding member like Sean Ellis who coined the term "growth hacking"

AI for Her is a non-profit organization on a mission to bring more women and gender minorities in the Artificial Intelligence (AI) and Machine Learning (ML) industry. Whether you are already in the AI/ML industry, are looking to move to the industry, or maybe you just want to know what AI/ML is - we welcome curious minds across all backgrounds and experiences. Beyond the safe and open community, we provide tools, resources and support for building your AI and ML skills. And by improving the gender diversity in the AI/ML industry, we are on a mission to make sure we are building an AI-powered future that is fair and equitable to everyone!

An international community of people interested in data & machine learning.

We are a collective of data professionals who are working on our freelancing businesses. Members receive a freelancing blueprint, access to community events, recording and resources apart from being part of our slack community.

IBM Community offers a constant stream of freshly updated content including featured blogs and forums for discussion and collaboration; access to the latest white papers, webcasts, presentations, and research uniquely for members, by members.

Data Leaders is professional community for Chief Data Officers and their teams. We accelerate performance, reduce complexity and provide a stage for teams to shine. Our peer-advisory community is a trusted, vendor-free environment for people leading change at the world’s biggest organisations.

LatinX in AI (LXAI) bridges communities, academics, industry, and politicians working to further AI innovation and resources for LatinX individuals globally. We drive and support research, development, infrastructure, and mentoring programs to boost innovation and capabilities of LatinX professionals working in Artificial Intelligence, Machine Learning, and Data Science.

The DATA SCIENCE SALON is a unique vertical focused data science conference which grew into a diverse community of senior data science, machine learning and other technical specialists. We gather face-to-face and virtually to educate each other, illuminate best practices and innovate new solutions in a casual atmosphere.

Open science platform for sharing datasets, machine learning algorithms, and experimental results. Enables reproducible ML research with APIs for Python, R, and Java integration.

Kaggle's community forum for data scientists and ML engineers to discuss competitions, datasets, code, and machine learning techniques.

SAS Support Communities are where SAS users can find answers, share knowledge, and connect with other analytics professionals to solve problems and share best practices.

The Tableau Community, part of the Salesforce Trailblazer network, is a neighborhood for data professionals to connect, share insights, and learn Tableau.

The Qlik Community is a global network of users, experts, and partners sharing knowledge and best practices for data analytics and Qlik product offerings.

A community for data science and machine learning enthusiasts to share resources, projects, and learning materials.

A learning community focused on machine learning and AI training, sharing courses and hands-on projects.

A group for big data enthusiasts covering Hadoop, Spark, data engineering, and analytics techniques.