Connect it. Test it. Ship it. / CORE PATH

Publish evidence & choose your next step

Finish with a reproducible artifact and a clear account of what you learned.

Link the result to your portfolio, DE roadmap and FDE roadmap.

Understand the idea

Finish with a reproducible artifact and a clear account of what you learned. Link the result to your portfolio, DE roadmap and FDE roadmap.

Work through the practice with a tiny fixture, predict the result before running it, and record one boundary case. Use the exit check as evidence before moving on.

What to learn

• Show setup, data contract, architecture, tests and one failure case.
• Label synthetic data and distinguish built features from proposed extensions.
• Choose the next DE, FDE or ML branch after reviewing your gaps.

Practice on your own data

Use templates/weekly-review.md and templates/project-readme.md for a final review.

Practice this lesson in the Python lab →

Prerequisites

Build 03 · a rerunnable data pipeline · n8n, CI & operational handover · Useful problem-solving patterns

Video and playlist companions

Choose one explanation for the concept, then attempt the practice. These are topic mappings, not a claim that every linked lesson covers every outcome.

تطبيق عملي: مبادئ تصميم واجهات وتطبيقات علم البيانات | Streamlit Basics (Dashboards & Data Apps)

▶Watch preview

Loads YouTube on request. Open on YouTube ↗ if the owner restricts embedding.

Data Visualization using Dash, Plotly, and PowerBI

▤▶Explore playlist

Loads YouTube on request. Open on YouTube ↗ if the owner restricts embedding.

Sources and further reading

• roadmap.sh · Python Developer ↗Official roadmap.sh page
• Harvard CS50P · lectures & problem sets ↗User-selected HarvardX CS50P course
• تطبيق عملي: مبادئ تصميم واجهات وتطبيقات علم البيانات | Streamlit Basics (Dashboards & Data Apps) ↗User-selected YouTube resource
• Data Visualization using Dash, Plotly, and PowerBI ↗User-selected YouTube playlist

Track progress on this topic → · Markdown source ↗