|
所在平台: Coursera |
课程主页: https://www.coursera.org/learn/cybersecurity-for-data-science
课程评论：没有评论
课程名称：数据科学的网络安全 课程概述：本课程旨在帮助任何对数据科学感兴趣的人理解网络安全风险以及可以用来减轻这些风险的工具和技术。我们将讨论机密性、完整性和可用性之间的区别，介绍与数据科学相关的网络安全工具和技术，包括加密工具、软件资源和政策等。课程还将探讨身份验证和访问控制的关键工具和技术，以帮助数据的生产者、策展人和用户维护数据的安全性和隐私。 该课程可以作为科罗拉多大学博尔德分校数据科学硕士（MS-DS）学位的一部分获得学分，MS-DS是一个跨学科的学位，结合了应用数学、计算机科学、信息科学等多个部门的教师。该项目采用基于表现的录取方式，无需申请流程，非常适合具备广泛本科教育和/或计算机科学、信息科学、数学和统计学专业背景或职业经验的个人。欲了解更多关于MS-DS项目的信息，请访问 https://www.coursera.org/degrees/master-of-science-data-science-boulder。 课程大纲： 1. **基本网络安全概念与原则**：学习网络安全的基本知识和CIA三角形。 2. **你的网络故事与公共数据档案**：探索自己的网络故事，并审视自己的公共数据档案。 3. **WiFi、物联网、黑客攻击、数据泄露与社会工程**：探索黑客攻击、物联网和社会工程的世界。 4. **网络安全的伦理**：利用社交媒体与网络安全专家联系，探讨网络安全及数据相关的伦理问题。 5. **网络安全专家访谈**：与网络安全专家联系，进行访谈，提交文本、音频或视频，并反思所获得的经验和知识。
Name:Basic Cybersecurity Concepts and Principles
Description:In this module, you will learn the basics of cybersecurity and the CIA triad.
Name:Your Cyber Story and Your Public Data Profile
Description:In this module, you will explore your Cyber Story and examine your pubic data profile
Name:Wifi, IoT, Hacking, Data Breaches and Social Engineering
Description:This module explores the world of hacking, IoT and social engineering.
Name:The Ethics of Cyber Security
Description:This session students will leverage social media to connect with cybersecurity experts and explore the ethics around cybersecurity and data.
Name:Cybersecurity Expert Interview
Description:You will connect with a cybersecurity expert , interview the contact, submit the text, audio or video of the interview and reflect on the experience and knowledge gained.
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.
