Digital Transformation and data science in the energy and industrial sector


Day1-Introduction to digital transformation

  • Main technologies used (robots, drones, 3D printing, IoT, 5G, virtual reality, augmented reality, Big Data, Machine Learning)
  • Application examples

Interactive exercises

Day2-Data science applied to industry

  • Process modeling
  • Machine Learning
  • Artificial intelligence
  • Application examples
  • Interactive exercises

Day3-No-code tools to improve productivity and analyze industrial data

  • Discover Microsoft’s no-code tools
  • Power BI exercises
  • Data-driven project management

Day4-Python hands-on exercises for data analysis

  • Realization of exercises in Python for data analysis and Machine Learning

Day5-Python hands-on exercises for data analysis

  • Continuation of exercises in Python for data analysis and Machine Learning


French, English, Portuguese

Audience type

This course is intended for students of engineering schools

Planned duration

25-30 hours (5 days, being 5-6 hours a day

Support material

Everything will be provided in progress, software installation required




Bring awareness to students about new technologies and exemplify concrete applications in the energy sector. Allow students to interact with the various stakeholders (business techniques and IT) in the world of today’s digital transformation.

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