In this online data science course, you will learn about cybersecurity risks and the tools and techniques that can be used to mitigate those risks. You will uncover the distinctions between confidentiality, integrity, and availability. You will also learn about the key policies and cybersecurity tools essential to data science, including cryptographic tools, software resources, and techniques for authentication and access control to ensure the security and privacy of data.

By completing this course, you will be able to:

  • Characterize the CIA principles and use them to classify a variety of cyber scenarios
  • Identify and disseminate vulnerabilities in the data security space, both social (human) and technical (digital)
  • Distinguish ethical boundaries of hacking and its applications
  • Explore professional cybersecurity networks and connect with experts from the field

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.

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