I’ve been teaching for a long time, mainly to professionals that want to apply data science, machine learning, AI or, in general, perform organization transformations to take advantage of data and algorithms. My lecturer are very focused on the application so have strong hands-on orientation. I also had some technical sessions, that I also like to give.
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So, the themes I usually cover are:
- Business or organizational:
- Product innovation through data and algorithms
- Organizational innovation strategy through AI
- Data strategy and leadership roles as CDO, CDAIO, etc.
- Transformation strategies and data governance
- Data monetization
- Fostering and promoting a data culture
- Technical:
- Distance metrics and KNN (K-nearest neighbors)
- Spatial data science (a bit of spatial data engineering and a bit on geostatistics)
- Graphs (networks in python)
- Meta-heuristics, focused on optimization (evolutionary as genetic algorithms, particles, hill-climbing, etc …)
- Applied urban science: housing market modeling, automatic valuation models
I interested in any of this contents, please contact me on Linkedin or through my X profile.
Below I describe some of the lectures that I will be completing over time (and maybe uploading some contents).
Business or organizational
- Data & AI product innovation workshop: it is a one-month workshop with weekly lessons that is accompanied by complementary lectures: data strategy, data culture, innovation thru IA, analytics operational models, etc.
- Data strategy: focus on what it is, and more importantly in the why.
- The CDO mindset: this lecture covers what the canonical definition of this role is, but also the different variations of it. It also speaks about the roadmap to deploy this function.
to be continued
Technical
to be continued