Digital Transformation and data science in the energy and industrial sector
Synthesis
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
Language
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
Prerequisite
None
Objectives
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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