Course Outline
Day 1
Fundamentals of Data Products & Strategy
Introduction to Contemporary Data Products
Contrasting Data Products with Traditional Data Systems
Data as a Strategic Business Asset
Essential Components of a Data Product Ecosystem
Identifying Business Challenges Suitable for Data Product Solutions
Overview of the Data Product Lifecycle (From Ideation to Scale)
Case Studies: Successful Data Products Across Industries
Day 2
Data Product Design & Architecture
Core Principles of Data Product Design
Understanding User Personas and Data Consumers
Examining Data Architecture Models (Centralised vs Data Mesh vs Hybrid)
Designing Scalable Data Pipelines
Data Modelling for Analytics and Operational Applications
APIs and Data Accessibility Layers
Cloud Infrastructure for Data Products (Overview of AWS / Azure / GCP)
Day 3
Data Engineering & Implementation
Data Ingestion Methods (Batch vs Streaming)
ETL vs ELT Frameworks
Constructing Reliable Data Pipelines
Data Storage Solutions (Data Lakes, Warehouses, Lakehouse)
Data Transformation and Orchestration Tools
Introduction to Real-Time Data Processing
Hands-on Lab: Building a Basic Data Pipeline
Day 4
Analytics, AI Integration & Governance
Integrating Analytics into Data Products
Dashboards, KPIs, and Decision Intelligence
Introduction to AI/ML within Data Products
Recommendation Systems and Predictive Models
Data Quality Management and Monitoring
Data Governance, Privacy, and Compliance (Overview of GDPR concepts)
Safeguarding Trust, Security & Reliability in Data Products
Day 5
Deployment, Scaling & Productisation
Productising Data Solutions for End Users
Deployment Strategies and CI/CD for Data Products
Monitoring, Performance Optimisation & Scaling
Data Product Lifecycle Management within Organisations
Monetisation Strategies for Data Products
Future Trends: Generative AI & Autonomous Data Products
Capstone Project Presentation & Feedback Session
Requirements
- A foundational grasp of data concepts and business reporting is advised.
- Competence with Excel or any fundamental data analysis tool is beneficial.
- An awareness of how data underpins business decision-making processes will be advantageous.
- No advanced programming skills or technical background are necessary.
- A genuine interest in data, analytics, and digital product development is required.
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customised Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from £8000 + VAT*
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Testimonials (2)
The variety of the information shared and the clarity to explain terms in plain English.
Arisbe Mendoza - Fairtrade International
Course - GDPR Workshop
It's a hands-on session.
