This course is designed to introduce students to data science and its practice: how it works and how it can produce insights from social, political, and economic data. It combines accessible knowledge ...

While data science promises to unlock new levels of insight, it is essential to understand its limitations, particularly in ...

data-science fundamentals, communication, and business acumen. You'll gain a competitive edge through domain-specific specialization in disciplines of science and engineering, and you'll have the ...

Statistics is a branch of math that involves the collection, description, analysis, and inference of conclusions from ...

Offered: Winter (TTh 9:30-10:50 a.m.) and Spring (TTh 12:30-1:50 p.m.) Foundations of Data Science will cover the fundamentals of data science and the context within which this field operates. This ...

Data Science Foundations introduces the fundamentals of data science, including terminology and concepts, core models and algorithms, technologies, and application scenarios. It considers the key ...

In this module, you will learn the foundations of visualization design. You will walk through the key components of a visualization, how we effectively represent data using channels like color, size, ...

Identify big data or large, distributed systems. Know when and when not to use big data. Practice software engineering fundamentals. Create an application that uses rest collaboration, event ...

213-level knowledge needed, will benefit from 339 (DB) and/or 343 (OS) background. In this seminar, we will survey the fundamentals of data science by reading state of the art research papers in this ...

This course is not capped. Any student who requests a place is likely to be given one. This course is designed to introduce students to data science and its practice: how it works and how it can ...

Data science prepares you for careers that explore patterns in large data sets and identify potential trends and insights. The program teaches skills in programing, modeling, machine learning, data ...