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 is part of the Vital Skills for Data Science Specialization
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Vital Skills for Data Science SpecializationUniversity of Colorado BoulderAbout this Course
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Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 3 of 4 in the
Beginner Level
Anyone can take this course
Approx. 19 hours to complete
English
Subtitles: English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
Characterize the CIA principles and use them to classify a variety of cyber scenarios.
Identify and disseminate vulnerabilities in the data security space- social (human) and technical (digital).
Distinguish ethical boundaries of hacking and its applications.
Explore professional cybersecurity networks and connect with experts from the field.
Skills you will gain
- Communication
- Risk Analysis
- Problem Solving
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 3 of 4 in the
Beginner Level
Anyone can take this course
Approx. 19 hours to complete
English
Subtitles: English
Could your company benefit from training employees on in-demand skills?
Try Coursera for Business
Offered by
University of Colorado Boulder
CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
Start working towards your Master's degree
This course is part of the 100% online Master of Science in Data Science from University of Colorado Boulder.
If you are admitted to the full program, your courses count towards your degree learning.
Syllabus - What you will learn from this course
2 hours to complete
Basic Cybersecurity Concepts and Principles
In this module, you will learn the basics of cybersecurity and the CIA triad.
2 hours to complete
4 videos (Total 20 min), 6 readings, 1 quiz
4 hours to complete
Your Cyber Story and Your Public Data Profile
In this module, you will explore your Cyber Story and examine your pubic data profile
4 hours to complete
3 videos (Total 38 min), 5 readings, 2 quizzes
2 hours to complete
Wifi, IoT, Hacking, Data Breaches and Social Engineering
This module explores the world of hacking, IoT and social engineering.
2 hours to complete
3 videos (Total 29 min), 4 readings, 1 quiz
9 hours to complete
The Ethics of Cyber Security
This session students will leverage social media to connect with cybersecurity experts and explore the ethics around cybersecurity and data.
9 hours to complete
2 videos (Total 21 min), 4 readings, 1 quiz
About the Vital Skills for Data Science Specialization
Vital Skills for Data Science introduces students to several areas that every data scientist should be familiar with. Each of the topics is a field in itself. This specialization provides a "taste" of each of these areas which will allow the student to determine if any of these areas is something they want to explore further. In this specialization, students will learn about different applications of data science and how to apply the steps in a data science process to real life data. They will be introduced to the ethical questions every data scientist should be aware of when doing an analysis. The field of cybersecurity makes the data scientist aware of how to protect their data from loss.
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