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Cybersecurity for Data Science(으)로 돌아가기

콜로라도 대학교 볼더 캠퍼스의 Cybersecurity for Data Science 학습자 리뷰 및 피드백

4.1
별점
10개의 평가

강좌 소개

This course aims to help anyone interested in data science understand the cybersecurity risks and the tools/techniques that can be used to mitigate those risks. We will cover the distinctions between confidentiality, integrity, and availability, introduce learners to relevant cybersecurity tools and techniques including cryptographic tools, software resources, and policies that will be essential to data science. We will explore key tools and techniques for authentication and access control so producers, curators, and users of data can help ensure the security and privacy of the data. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder....

최상위 리뷰

필터링 기준:

Cybersecurity for Data Science의 3개 리뷰 중 1~3

교육 기관: Megan A

2022년 10월 4일

교육 기관: matt t

2022년 4월 19일

교육 기관: William W

2021년 10월 16일