Docker became a gold standard in the IT world. It gets a lot of attention among Data Science teams because it allows to solve common problems such as reproducibility of analyses or a web application stability.
“Docker for Data Science” is a training for everyone who cares about the stability and reliability of provided solutions.
Duration: 1 day or 2 days 8 hours each (including an hour lunch break) depending on knowledge of Linux.
Requirements: knowledge of Python or R.
Part one: Let’s look under the hood
Part two: Docker – the world of containers
Part three: Interesting use cases