*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

You don't have to spend a fortune and study for years to start working with big data, analytics, and artificial intelligence. Demand for "armchair data scientists" – those without formal ...

Today, the amount of data that organizations collect is unprecedented. However, being able to find the “right” data and create innovative data analytics solutions is just the first challenge. The ...

“I don’t want students leaving Yale and going through life with a feeling that everything powered by big data and algorithms is a black box,” said Alan Gerber, dean of social science and the Charles C ...

We live in a world driven by data. Data is collected and stored on every human interaction, whether commercial, civic or social. Enormous server “farms” across the world save, preserve and serve data ...

ILS 23000, Data Science and Society: Ethical, Legal, Social Issues This course provides an introduction to Ethical, Legal, Social Issues (ELSI) in Data Science. Students will be introduced to ...

This module begins with an introduction to the course including motivation for the topic, the course goals, what topics the course will cover, and what is expected of the students. It then reviews the ...

The Michigan Tech Data Science MS provides a broad-based education in data mining, predictive analytics, cloud computing, data-science fundamentals, communication, and business acumen. You'll gain a ...

Stay on top of what’s happening in the Bay Area with essential Bay Area news stories, sent to your inbox every weekday. The Bay Bay Area-raised host Ericka Cruz Guevarra brings you context and ...