Data and AI

Fundamentals

Note: some of the articles are in draft stage…

• Introduction
• Data Fundamentals:
  • Making Friends with Data
  • Different Data Formats
  • Data Processing (OLTP vs OLAP)
  • DIKW Pyramid
  • Dealing with Data Quality
  • Big Data (4Vs)
  • Data Lifecycle
• Data Engineering:
  • Data Ingestion
  • Data Storage
  • Data Transformation
  • Data Service
  • Data Orchestration
• Data Analytics:
  • Descriptive
  • Predictive
  • Diagnostic Analytics
  • Prescriptive
  • Real-time Analytics
• Data Strategy
  • Business Alignment
  • Emerging Technologies
  • Data Culture
  • Performance Measurement
• Data Architecture:
  • Data Design
  • Data Scalability
  • Data Lakehouse
  • Data Mesh/Fabric
  • Cloud Computing
• Data Governance:
  • Data Policies
  • Data Privacy
  • Data Security
  • Data Stewardship
• Data Science:
  • Statistical Analysis
  • Programming
  • Data Cleaning
  • Feature Engineering
  • Model Deployment and Monitoring
• Machine Learning:
  • Types of Learning
  • Model Evaluation
  • Neural Networks
  • Transfer Learning
  • Reinforcement Learning
  • Explainable AI (XAI)
• AI Fundamentals:
  • Concepts
  • Ethics & Regulation
  • Applications
  • Natural Language Processing (NLP)
  • Computer Vision
• Conclusion