From the course: Data Science Foundations: Fundamentals
Join today to access over 24,200 courses taught by industry experts.
Roles and teams in data science
From the course: Data Science Foundations: Fundamentals
Roles and teams in data science
- [Instructor] Data science is fundamentally a team sport. There's so many different skills and so many different elements involved in a data science project that you're going to need people from all sorts of different backgrounds and with different techniques to contribute to the overall success of the project. I want to talk about a few of these important roles. The first one is the data engineers. These are the developers and the system architects, the people who focus on the hardware and the software that make data science possible. They provide the foundation for all of the other analyses. They focus on the speed and the reliability and the availability of the work that you do. Next are machine learning specialists, these are people who have extensive work in computer science, and in mathematics, they work in deep learning, they work in artificial intelligence, and they're the ones who have the intimate understanding…
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.