Udemy - AI-powered Data Intelligence Hub

Files:

• Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here ! 1 - Introduction
• 1. Introduction.mp4 (7.3 MB)
• 2. About Me.mp4 (11.3 MB)
• 3. What you will achieve in this course.mp4 (7.2 MB)
10 - Real-Time Dashboards & Visualization
• 70. Introduction.mp4 (10.8 MB)
• 71. Why Dashboards Matter.mp4 (20.9 MB)
• 72. Five Principles Effective Dashboards.mp4 (29.7 MB)
• 73. Real-World Examples.mp4 (20.6 MB)
• 74. Real-Time Dashboard Architecture.mp4 (16.0 MB)
• 75. Visualization Types & Use Cases.mp4 (39.4 MB)
• 76. Real-Time Update Mechanisms.mp4 (23.7 MB)
• 77. Boosting Dashboard Performance.mp4 (28.6 MB)
• 78. User Experience & Interactivity.mp4 (25.8 MB)
• 79. Summary and Next Steps.mp4 (15.2 MB)
11 - Advanced Analatics & Predictive Insights
• 80. Introduction.mp4 (9.7 MB)
• 81. Analytics Maturity Model.mp4 (21.2 MB)
• 82. Forecasting Techniques.mp4 (32.5 MB)
• 83. Anomaly Detection Methods.mp4 (32.5 MB)
• 84. Prescriptive Analytics.mp4 (20.1 MB)
• 85. Machine Learning Pipeline.mp4 (20.1 MB)
• 86. Model Monitoring & Drift Detection.mp4 (25.7 MB)
• 87. Summary and Next Steps.mp4 (23.2 MB)
12 - Scaling & Production Deployment
• 88. Introduction.mp4 (9.1 MB)
• 89. Prescriptive Analytics.mp4 (17.5 MB)
• 90. Scaling Data Pipelines.mp4 (28.8 MB)
• 91. Deploying Models to Production.mp4 (26.8 MB)
• 92. Infrastructure & DevOps.mp4 (20.3 MB)
• 93. Cost Optimization Strategies.mp4 (25.0 MB)
• 94. Monitoring & Observability.mp4 (22.1 MB)
• 95. Summary.mp4 (15.6 MB)
13 - Congratulations!
• 96. Congratulations.mp4 (9.1 MB)
2 - Understanding Data Intelligence Hubs
• 4. Understanding Data Intelligence Hubs.mp4 (6.6 MB)
• 5. What is a Data Intelligence Hub.mp4 (49.7 MB)
• 6. Business value and common cases.mp4 (95.0 MB)
• 7. Data Intelligence Hubs as Data Products.mp4 (25.8 MB)
• 8. ODPS and MLG in Data Intelligence Hubs.mp4 (32.7 MB)
• 9. Summary and Next Steps.mp4 (22.6 MB)
3 - Project Overview
• 10. Project Overview.mp4 (9.5 MB)
• 11. The Data Product Mindset in Architecture.mp4 (25.8 MB)
• 11. The Data Product Mindset in Architecture_Data intelligent Hub - The Data Product Mindset in Architecture.mp4.mp4 (41.0 MB)
• 12. End-to-End Data Product Architecture.mp4 (67.8 MB)
• 13. Mapping ODPS to Our Architecture.mp4 (87.5 MB)
• 14. Embedding MLG Governance Touchpoints.mp4 (43.2 MB)
• 15. Technology Stack and n8n's Role.mp4 (51.5 MB)
• 16. Design Principles for Maintainable Data Products.mp4 (17.0 MB)
• 17. Summary and Next Steps.mp4 (24.4 MB)
4 - Data Ingestion Implementing Multi-Source Collection
• 18. Introduction.mp4 (14.9 MB)
• 19. Understanding Input Ports.mp4 (30.0 MB)
• 20. Google Sheets Integration.mp4 (59.5 MB)
• 21. Reddit RSS Integration.mp4 (61.5 MB)
• 22. Gmail Integration.mp4 (60.6 MB)
• 23. Error Handling & Quality Validation.mp4 (37.5 MB)
• 24. Summary and next steps.mp4 (8.5 MB)
5 - Data Transformatio and Enrichment
• 25. Introduction.mp4 (11.4 MB)
• 26. Why Data Transformation Matters.mp4 (30.9 MB)
• 27. Unified Data Model.mp4 (29.6 MB)
• 28. Transforming Data.mp4 (98.4 MB)
• 29. Enrichment and Quality Monitoring.mp4 (29.0 MB)
• 30. Summary and Next Steps.mp4 (17.1 MB)
6 - Data Quality and Validation
• 31. Introduction.mp4 (11.3 MB)
• 32. Why Data Quality Matters.mp4 (27.6 MB)
• 33. The 5 Dimensions of Data Quality.mp4 (22.3 MB)
• 34. Validation Rules.mp4 (50.2 MB)
• 35. Validation Workflow.mp4 (53.7 MB)
• 36. Anomaly Detection.mp4 (13.9 MB)
• 37. Summary and Next Steps.mp4 (15.0 MB)
7 - Analytics & Insights
• 38. Introduction.mp4 (11.9 MB)
• 39. Understanding Topic Extraction.mp4 (26.7 MB)
• 40. Understanding Entity Recognition.mp4 (19.5 MB)
• 41. Why Sentiment Analysis Matters.mp4 (14.5 MB)
• 42. Understanding Sentiment Analysis.mp4 (17.5 MB)
• 43. Sentiment Analysis APIs.mp4 (30.0 MB)
• 44. Sentiment Analysis Workflow.mp4 (27.6 MB)
• 45. Implementing with OpenAI Analysis.mp4 (18.1 MB)
• 46. Topic Extraction & Entity recognition Workflow Architecture.mp4 (17.6 MB)
• 47. OpenAI Implementation.mp4 (17.3 MB)
• 48. Combining Insights.mp4 (20.9 MB)
• 49. Summary and Next Steps.mp4 (20.9 MB)
8 - Insights Aggregation
• 50. Introduction.mp4 (8.2 MB)
• 51. Why Aggregation Matters.mp4 (13.1 MB)
• 52. Five Dimensions of Aggregation.mp4 (15.3 MB)
• 53. Three Aggregation Patterns.mp4 (22.4 MB)
• 54. ODPS Aggregation Layer Specification.mp4 (12.2 MB)
• 55. Building Aggregation Workflows.mp4 (19.8 MB)
• 56. Detecting Emerging Issues.mp4 (26.1 MB)
• 57. Core KPIs for Stakeholders.mp4 (45.5 MB)
• 58. Advanced Analytics Techniques.mp4 (41.7 MB)
• 59. Performance Optimization.mp4 (19.9 MB)
• 60. MLG Governance & Compliance.mp4 (12.1 MB)
• 61. Summary and Next Steps.mp4 (19.5 MB)
9 - Data Storage and Management
• 62. Introduction.mp4 (6.9 MB)
• 63. Why Storage Matters.mp4 (24.6 MB)
• 64. Choosing the Right Database.mp4 (25.4 MB)
• 65. Database Schema Design.mp4 (16.7 MB)
• 66. Data Retention & Archival.mp4 (17.2 MB)
• 67. Boosting Storage Performance.mp4 (10.7 MB)
• 68. Data Governance Roles and Essentials.mp4 (34.0 MB)
• 69. Summary and Next Steps.mp4 (19.2 MB)
• Bonus Resources.txt (0.1 KB)