By the end of the session participants will:
- identify and be aware of sources of data collection in their devices and in the world
- classify different types of data
- summarize what kind of work and areas belong to each data science step
- illustrate the data science workflow presented with an example from their work or life
- differentiate between data-driven decision support systems and data products/services
Trainer: Gonçalo Carito
Gonçalo Carito works as a Data Scientist at Siemens Mobility. He is also a trainer and consultant in this area, in code programming and digital skills. With more than six years of experience in Data Science, he worked in different areas of applicability such as marketing and advertising, speech processing, transport systems and mobility, education, and cognitive science.
He is also an experienced trainer in other skills of importance for data science but also for personal and professional development. As an example, critical thinking, communication, self-leadership, emotional intelligence and empathy, decision making, creativity, and innovation.
He is a speaker trained by Toastmasters International.
Gonçalo is a very knowledgeable and skillful trainer. He works his resources to simplify very technical and geeky content at a joyful rhythm, making everyone feel comfortable, interested, and included in the journey of learning. Very passionate about the topics and always easy-going and receptive to all questions and challenges.
I attended a 5-day workshop from Gonçalo. He puts a lot of effort and creativity into his preparation and makes every session interesting. As a trainer, he is a great facilitator and a patient listener. I liked in his sessions how he visualized evidence-based models and made us understand difficult topics easily. He can easily engage everyone in his sessions. I appreciated a lot the reflection time where he invited us, participants, to share thoughts and step out of our comfort zone.
Prior knowledge required
No prior knowledge is required
Track: Digital skills