It is expected that students seeking enrollment in this program will have sufficient foundational skills and aptitude in computer programming, statistical analysis, information systems, and databases.

Accelerating transformative advances in the theoretical foundations of data science, the Institute for Data, Econometrics, Algorithms, and Learning (IDEAL) unites a team of faculty, students, ...

The Foundations of Data Structures and Algorithms specialization includes two optional preparation courses and a three-course pathway to earn admission to the Online MS in Computer Science. You must ...

The future of data science at Yale will reside on one of the top floors of a re-imagined Kline Tower on Science Hill, starting in 2023 — but the university, its researchers, and the new Institute for ...

Google Data Analytics Professional Certificate: Coursera IBM Data Science Professional Certificate: Coursera Learn SQL Basics for Data Science Specialization: Coursera the PwC Approach Specialization: ...

Within this page, you can find information about how to apply for the Master of Science in Data Science (MSDS) or Foundations of Data Science Graduate Certificate. Review program requirements, as well ...

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 ...

Yale’s newest data science initiative, announced in August, has opened its doors. The Institute for Foundations of Data Science, otherwise known as both the Kline Tower Institute and as FDS, launched ...

Cybersecurity stands as one of today's most rapidly expanding fields. Michigan Tech offers an on-campus and online Foundations of Cybersecurity certificate program designed for students and ...

This certificate program is not currently admitting new students. Drexel University's Post-Bachelor's Certificate in Data Science Foundations in the College of Computing & Informatics is designed for ...

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...