Course Outline
Day 1
Foundations of Data Products & Strategy
Introduction to Modern Data Products
Differentiating Data Products from Traditional Data Systems
Leveraging Data as a Strategic Business Asset
Core Components of a Data Product Ecosystem
Identifying Business Challenges Suitable for Data Products
Overview of the Data Product Lifecycle (Ideation to Scaling)
Case Studies: Successful Industry Data Products
Day 2
Data Product Design & Architecture
Principles of Data Product Design
Understanding User Personas and Data Consumers
Data Architecture Models (Centralized vs. Data Mesh vs. Hybrid)
Designing Scalable Data Pipelines
Data Modeling for Analytics and Operational Use
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: Constructing a Simple Data Pipeline
Day 4
Analytics, AI Integration & Governance
Integrating Analytics into Data Products
Dashboards, KPIs, and Decision Intelligence
Introduction to AI/ML in Data Products
Recommendation Systems and Predictive Models
Data Quality Management and Monitoring
Data Governance, Privacy, and Compliance (Overview of GDPR Concepts)
Ensuring Trust, Security, and Reliability in Data Products
Day 5
Deployment, Scaling & Productization
Productizing Data Solutions for End Users
Deployment Strategies and CI/CD for Data Products
Monitoring, Performance Optimization, and Scaling
Data Product Lifecycle Management in Organizations
Monetization Strategies for Data Products
Future Trends: Generative AI and Autonomous Data Products
Capstone Project Presentation and Feedback Session
Requirements
- A fundamental grasp of data concepts and business reporting is advised.
- Familiarity with Excel or similar basic data analysis tools is advantageous.
- An appreciation for how data informs business decision-making is beneficial.
- No advanced programming or technical background is necessary.
- A strong interest in data, analytics, and digital product development is essential.
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized 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 6500 € + 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.