Building Your First Classification Model in Python with Scikit-learn

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Description

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.Read more.

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The techniques and tools covered in Cybersecurity for Data Science are most similar to the requirements found in Data Scientist job advertisements.

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Learning Sequence

Cybersecurity for Data Science is a part of one structured learning path.

Coursera
University of Colorado Boulder

4 Courses 5 Months

Vital Skills for Data Science