Overview
This section consolidates my training offer under the services area. It combines advisory-led education with structured learning paths so organisations can move from scattered tutorials to coherent capability building.
The formats include in-company workshops, multi-session academies, postgraduate modules, executive education, and self-directed technical study plans that can be adapted to different levels of maturity.
What you will find here
- Topic-specific learning paths with curated technical scope
- Training outlines for business schools, universities, and in-company delivery
- Reusable curriculum themes across analytics, AI, cloud, BI, and measurement
- Material structures that can support live sessions, blended delivery, or internal enablement
Learning paths
- Cloud Computing: AWS, GCP, Azure, Databricks, and production data infrastructure
- Business Intelligence and Data Analytics: SQL, modeling, ETL, reporting, and analytical workflows
- Data Visualization: dashboards, BI storytelling, and decision-oriented visual analysis
- Python: programming foundations, analytics workflows, pandas, and practical machine learning preparation
- R Studio and R for Data Analysis: statistical programming, reproducible analysis, and analytical reporting
- Data Science and Machine Learning: ML foundations, model evaluation, experimentation, and applied workflows
- Google Marketing Platform: GA4, GTM, Google Ads, and measurement architecture
Delivery formats
- In-company workshops and bootcamps
- Executive education and leadership sessions
- University and business-school modules
- Blended training with labs, exercises, and follow-up support
- Learning-path design for internal academy programmes
Best fit
This subsection is a good fit when you need a training partner who can combine strategic framing, practical curriculum design, and hands-on technical delivery across data, cloud, measurement, and machine learning.