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Links: Course: https://github.com/DataTalksClub/data... 0:00 Introduction to the course team 1:04 Overview of course modules and topics 6:08 Prerequisites for the course 8:19 Introduction to course structure and materials 16:32 Final project and dashboard creation 19:02 Certificate requirements and peer reviews 21:06 Introduction to Homework and Course Management Platform 32:00 Slack Guidelines 34:00 FAQ Document and Q&A Bot Usage 37:00 Q&A Session: Why Use GCP for the Course? 41:50 Can you get a data engineering job without a degree? 45:00 Learning in public to expand your network 47:00 Essential skills: SQL, Python, Docker 51:30 Is data engineering suitable for beginners or experienced developers only? 55:30 How the course prepares students for AI in data engineering 1:03:03 Recommendations for beginner-friendly repositories 1:09:06 Advanced topics in data engineering (Airflow, DBT, Flink) 1:13:05 Importance of data governance and metadata tools 1:14:32 Rapid Q&A session and course updates 🔗 CONNECT WITH DataTalksClub Join the community - https://datatalks.club/slack.html Subscribe to our Google calendar to have all our events in your calendar - https://calendar.google.com/calendar/... Check other upcoming events - https://lu.ma/dtc-events LinkedIn - / datatalks-club Twitter - / datatalksclub Website - https://datatalks.club/ 🔗 CONNECT WITH ALEXEY Twitter - / al_grigor Linkedin - / agrigorev 📚Check our free online courses ML Engineering course - http://mlzoomcamp.com Data Engineering course - https://github.com/DataTalksClub/data... uj7jh1c6xg MLOps course - https://github.com/DataTalksClub/mlop... Analytics in Stock Markets - https://github.com/DataTalksClub/stoc... LLM course - https://github.com/DataTalksClub/llm-... Read about all our courses in one place - https://datatalks.club/blog/guide-to-... 👋🏼 GET IN TOUCH If you want to support our community, use this link - https://github.com/sponsors/alexeygri... If you’re a company, reach us at [email protected]