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DataTalks.Club Zoomcamps Notes and FAQ

A comprehensive collection of notes, FAQ, and resources for the DataTalks.Club Zoomcamps, our free courses on data engineering, machine learning, and analytics.

Course Description Article Repository
Data Engineering Zoomcamp Complete data engineering bootcamp covering Docker, SQL, Terraform, GCP, Kafka, and Spark Article GitHub
Machine Learning Zoomcamp ML engineering with deployment focus covering regression, classification, deep learning, and practical projects Article GitHub
MLOps Zoomcamp Production ML systems & best practices including experiment tracking, model deployment, and monitoring Article GitHub
Stock Markets Analytics Zoomcamp Financial data analysis and algorithmic trading strategies using Python and modern analytics tools Article GitHub
LLM Zoomcamp Large Language Models course covering fine-tuning, RAG systems, and LLM application development Coming Soon GitHub
Open Source LLM Zoomcamp Hands-on course focused on open-source LLM tools, local deployment, and cost-effective AI solutions Coming Soon GitHub
AI Dev Tools Zoomcamp Modern AI development tools and workflows for building, testing, and deploying AI applications Coming Soon GitHub

Complete Course Catalog

What's in this Repository

  • Course Notes: Detailed notes from each course session
  • FAQ: Frequently asked questions and answers
  • Resources: Links to datasets, tools, and materials
  • Tips & Tricks: Best practices and helpful hints
  • Examples: Sample projects and implementations

Visit the documentation site: https://datatalks.club/zoomcamps-notes-faq/

About DataTalks.Club

DataTalks.Club

DataTalks.Club of the biggest global online community of data enthusiasts with more than 73,000 members. We organize free online events, courses, and other community activities.

WebsiteJoin Slack CommunityNewsletterUpcoming EventsGoogle CalendarYouTubeGitHubLinkedInTwitter

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.

Contributing

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

How to Contribute

  1. Fork this repository
  2. Create a new branch for your changes
  3. Make your improvements
  4. Submit a pull request with a clear description

Contact


Happy learning! 🎓

All courses are free, hands-on, and designed by practitioners for real-world application.

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