Ready to build your first data project? Whether you're learning Python, SQL, or data analysis, this video will guide you through the essential steps to start, troubleshoot, and share your project effectively.
What You'll Learn:
✅ Why data projects are crucial for skill development
✅ How to start your first data project with Python and SQL
✅ Understanding Jupyter Notebook and SQL query basics
✅ Common troubleshooting tips and debugging techniques
✅ How to share and showcase your project on GitHub for feedback
This hands-on session is led by Anna Strahl, Senior Course Developer at Dataquest, who brings a blend of teaching and real-world data experience. If you're looking to build a portfolio and gain practical experience, this is the perfect starting point!
Resources Mentioned in the Video:
📌 Python Project → https://bit.ly/3WFNpFn
📌 SQL Project → https://bit.ly/40Ev1hc
📌 Guided Project Repository → https://bit.ly/4jB2UrR
📌 Markdown Cheat Sheet → https://bit.ly/4gdyKbz
📌 Jupyter Notebook Tutorial → https://bit.ly/4hkySar
💡 Join the Dataquest Community! Get help, share your projects, and receive valuable feedback → https://bit.ly/40Td7ss
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