
How can data analysis, modeling, and predictive forecasting be optimized using machine learning methodologies?
The SMart Innovative Learning for Employment (SMILE) project, selected and supported by the Fondo per la Repubblica Digitale – Impresa Sociale (Prospettive call), helps unemployed individuals aged 34-50 re-enter the job market through specialized training in digital skills that enhance their previous professional experience. Participation is free of charge.
This course focuses on Python programming for data analysis, equipping participants with the skills to interpret data, build models, and generate predictions using machine learning techniques.
Through an innovative learning framework, the program fosters the learning to learn competence, encouraging participants to independently update their skills in response to labor market demands. The training is supported by continuous interaction with tutors and expert trainers within the Smart Learning Community, inspired by the Smart Learning Design™ methodology developed by Politecnico di Milano.
Additional Details
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Online or Hybrid event - Yes
Number of participants - 20
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