Udemy - Build AI-Driven Data Warehouses - ChatGPT ETL, and Python...
- Category Other
- Type Tutorials
- Language English
- Total size 1.7 GB
- Uploaded By freecoursewb
- Downloads 198
- Last checked 1 month ago
- Date uploaded 1 month ago
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Infohash : 193933FDF3A95F1D7902065C8D3866E4DD534C63
Build AI-Driven Data Warehouses: ChatGPT ETL, & Python BI
https://WebToolTip.com
Published 2/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: en-GB | Duration: 2h 48m | Size: 1.68 GB
Master ChatGPT ETL scripts, SSIS packages, dimensional modeling & Streamlit BI dashboards for enterprise analytics
What you'll learn
Build a data driven data warehouse
Setup SQL Server and Python Environment
Restore SQL Server databases from backup files and validate that the restore completed correctly.
Create, activate, and manage Python virtual environments to isolate dependencies per project.
Use ChatGPT to generate ETL scripts and data engineering logic, accelerating development while maintaining control.
Build a staging table and create a working SSIS package to load data into SQL Server as part of an ETL pipeline.
Design a dimensional data warehouse model (star schema) and build a Python Streamlit analytics dashboard using SQL KPI queries
Requirements
Basic computer skills (installing software, creating folders, downloading files)
Beginner-level understanding of databases is helpful (but not required)
Basic familiarity with SQL is recommended (SELECT, WHERE, JOIN), but the course will guide step-by-step
No prior SSIS experience is required (you will learn from scratch)
No prior Python experience is required, but basic programming familiarity is a plus
Internet connection required.
Files:
[ WebToolTip.com ] Udemy - Build AI-Driven Data Warehouses - ChatGPT ETL, and Python BI- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - SQL Server Environment Setup
- 1. Introduction.mp4 (44.6 MB)
- 10. Restore databases.mp4 (25.9 MB)
- 2. Pre-Installation Preparation Installing Windows Updates.mp4 (19.3 MB)
- 3. SQL SERVER 2025 HARDWARE AND SOFTWARE REQUIREMENTS.mp4 (22.0 MB)
- 4. Download SQL SERVER.mp4 (28.4 MB)
- 5. SQL SERVER INSTALLATION.mp4 (88.0 MB)
- 6. Verify SQL Server Installation.mp4 (8.5 MB)
- 7. Installing SSMS.mp4 (21.5 MB)
- 8. Connecting to SQL Server with SSMS.mp4 (20.0 MB)
- 9. Database Types in SQL Server.mp4 (31.9 MB)
- 11. Python Installation on Windows.mp4 (45.5 MB)
- 12. What are virtual environments.mp4 (11.6 MB)
- 13. Creating and activating a virtual environment.mp4 (40.7 MB)
- 14. Updating pip in virtual environment.mp4 (10.3 MB)
- 15. Installing Visual Studio Code.mp4 (67.6 MB)
- 16. Installing and Importing Python Libraries.mp4 (65.1 MB)
- 17. Creating ChatGPT Account.mp4 (29.7 MB)
- 18. Generating ETL Script with ChatGPT.mp4 (97.8 MB)
- 19. Create a staging table.mp4 (50.5 MB)
- 20. Creating a new SSIS Package.mp4 (143.2 MB)
- 21. Dimensional Modelling Concepts.mp4 (84.3 MB)
- 22. AI Dimensional Modelling.mp4 (89.6 MB)
- 23. Building the data warehouse model.mp4 (143.6 MB)
- 24. Setting up page and database configuration.mp4 (94.7 MB)
- 25. Writing SQL Queries for KPI Metrics.mp4 (43.9 MB)
- 26. Writing SQL Queries for Activity by Type.mp4 (40.3 MB)
- 27. Writing SQL Queries for Engagement Levels.mp4 (33.9 MB)
- 28. Writing SQL Queries for Channel Performance.mp4 (30.6 MB)
- 29. Writing SQL Queries for Top Customers.mp4 (49.0 MB)
- 30. Writing SQL Queries for Activity by Day of Week.mp4 (38.8 MB)
- 31. Building the dashboard Part 1.mp4 (71.4 MB)
- 32. Building the dashboard Part 2.mp4 (32.3 MB)
- 33. Building the dashboard Part 3.mp4 (39.8 MB)
- 34. Building the dashboard Part 4.mp4 (40.6 MB)
- 35. Running the streamlit app.mp4 (17.5 MB)
- 36. Python Streamlit App Code.html (5.4 KB)
- 36. customer-analytics-dashboard.py (10.8 KB)
- Bonus Resources.txt (0.1 KB)
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