This website is currently under development and contains community-contributed notes and resources. Content is being actively added and improved by DataTalks.Club community.
| Course | Duration | Next Cohort | Description | Register | Repository |
|---|---|---|---|---|---|
| Machine Learning Zoomcamp | 16 weeks | September 15, 2025 | ML engineering with deployment focus covering regression, classification, deep learning, and practical projects | Register |  |
| AI Dev Tools Zoomcamp | 6 weeks | November 18, 2025 | Modern AI development tools and workflows for building, testing, and deploying AI applications | Register |  |
| Data Engineering Zoomcamp | 9 weeks | January 2026 | Complete data engineering bootcamp covering Docker, SQL, Terraform, GCP, Kafka, and Spark | Register |  |
| MLOps Zoomcamp | 12 weeks | – | Production ML systems & best practices including experiment tracking, model deployment, and monitoring | Register |  |
| LLM Zoomcamp | 10 weeks | June 2026 | Large Language Models course covering fine-tuning, RAG systems, and LLM application development | Register |  |
| Stock Markets Analytics Zoomcamp | 8 weeks | April 2026 | Financial data analysis and algorithmic trading strategies using Python and modern analytics tools | Register |  |
Discover all our courses, from beginner-friendly introductions to advanced specializations
This site is built with Rustkyll. To run it locally:
make install # Install dependencies (first time only)
make serve # Start the development server at http://localhost:4000Available make targets:
make help- Show all available targetsmake install- Download the pinned Rustkyll release binarymake serve- Start the Rustkyll development servermake serve-livereload- Start server with live reloadmake build- Build the site for productionmake clean- Remove generated files and caches
mkdir -p .bin
curl -fsSL -o .bin/rustkyll https://github.com/alexeygrigorev/rustkyll/releases/download/v0.4.6/rustkyll-linux-amd64
chmod +x .bin/rustkyll
.bin/rustkyll serve- Course Notes: Detailed notes from each course session
- Resources: Links to datasets, tools, and materials
- Tips & Tricks: Best practices and helpful hints
- Examples: Sample projects and implementations
DataTalks.Club of the biggest global online community of data enthusiasts with more than 79,000 members. We organize free online events, courses, and other community activities.
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All the activity at DataTalks.Club mainly happens on Slack. We post updates there and discuss different aspects of data, career questions, and more.
At DataTalksClub, we organize online events, community activities, and free courses. You can learn more about what we do at DataTalksClub Community Navigation.
We welcome contributions from the community! You can help by:
- Reporting Issues: Found an error or broken link? Let us know
- Improving Content: Submit pull requests with corrections or enhancements
- Adding Notes: Share your own course notes and insights
- Answering Questions: Help fellow learners in discussions
- Fork this repository
- Create a new branch for your changes
- Make your improvements
- Submit a pull request with a clear description
- Alexey Grigorev: alexey@datatalks.club: Founder and Community Lead
- Valeriia Kuka: valeriia@datatalks.club: Content Manager