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.Lee mas.
Este recurso es ofrecido por un socio afiliado. Si paga por la capacitación, podemos ganar una comisión para respaldar este sitio.
The techniques and tools covered in Cybersecurity for Data Science are most similar to the requirements found in Científico de datos data science job advertisements.
Cybersecurity for Data Science is a part of uno structured learning path.
4 Courses
5 Months
Vital Skills for Data Science
