[PDF] foundation of data science berkeley

What is the UC Berkeley foundations of data science course?

The UC Berkeley Foundations of Data Science course combines three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon?

How do you build a foundation for modern data science?

Building a foundation for modern data science requires rethinking not only how those three research areas interact with data, implementations, and applications, but also how each of the areas interacts with the others.

What is data science based on?

While the foundations of data science lie at the intersection of computer science, statistics, and applied mathematics, each of these disciplines in turn developed in response to particular long-standing problems.

What is a minor in data science at UC Berkeley?

The Minor in Data Science at UC Berkeley aims to provide students with practical knowledge of the methods and techniques of data analysis, as well as the ability to think critically about the construction and implications of data analysis and models.