Introduction
Ask a dozen people what “data science” means, and you get back thirteen different answers. This vagueness is unfortunately accompanied with a lot of hype and misaligned expectations. In this inspiration session, we aim to mitigate this by taking a good look under the hood of data science.
In three hours, we not only explain in clear terms what data science entails, but we also let participants experience what a typical data scientist does by working through a practical use case using a real-world dataset and a programming language such as Python or R. This session is meant for everybody who wants to know what data science is (and isn’t) about. Even when you’ll never intend to work with data yourself, it can be eye-opening to have experienced it. Caution: there’s a chance you’ll want to learn more afterwards!
Schedule
- Introductions
- Why take a look under the hood?
- Data science in clear terms
- A pragmatic definition
- The OSEMN model of data science
- Data science Venn diagram
- Overview of tools, platforms, and languages
- Why use a programming language?
- Use case and exercises
- Obtaining data
- Scrubbing data
- Exploring data
- Modelling data
- Interpreting data
- Where to go from here
About your instructor
Jeroen is an RStudio Certified Instructor who enjoys visualizing data, building machine learning models, and automating things using either Python, R, or Bash. Previously, he was an assistant professor at Jheronimus Academy of Data Science and a data scientist at Elsevier in Amsterdam and various startups in New York City. He is the author of Data Science at the Command Line. Jeroen holds a PhD in machine learning from Tilburg University and an MSc in artificial intelligence from Maastricht University.
Clients
We’ve previously delivered this workshop at:
Photos and testimonials

“Data Science Workshops came to our company to help us understand big data and the tools around it. They are clearly experts in this field and we enjoyed the course, learnt a lot and one day, when we have more big data, we hope to team up again. The trainer was personable, capable, and an expert. I couldn’t recommend them more highly.”
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