This course is part of the Vital Skills for Data Science Specialization

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stars
11 ratings

Al Pisano

2,148 already enrolled

Offered By

Part of the Master of Science in Data Science degree
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Vital Skills for Data Science SpecializationUniversity of Colorado Boulder

About this Course

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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.

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.

Coursera Labs

Includes hands on learning projects.

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Course 3 of 4 in the

Vital Skills for Data Science Specialization

Beginner Level

Anyone can take this course

Approx. 19 hours to complete

English

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What 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.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 3 of 4 in the

Vital Skills for Data Science Specialization

Beginner Level

Anyone can take this course

Approx. 19 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.66/5 (6 Ratings)

Al Pisano

Lecturer

Computer Science

2,148 Learners

1 Course

Offered by

University of Colorado Boulder

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.

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Syllabus - What you will learn from this course

Week1

Week 1

2 hours to complete

Basic Cybersecurity Concepts and Principles

2 hours to complete

4 videos (Total 20 min), 6 readings, 1 quiz

4 videos

Introduction1mIntroduce the CIA Triad and Cybersecurity Basics5mLinkedIn and Twitter for Professionals6mJoin LinkedIn Cybersecurity Course Group and Post6m

6 readings

Welcome and Where to Find Help 10mInformation on Peer Reviews10mThe CIA Triad10mCreate Your LinkedIn and Twitter Accounts10mNetworking with LinkedIn and Twitter10mAssignment: Join Cybersecurity Course Group on LinkedIn and Submit Posts10m

1 practice exercise

Week 1: Basic Cybersecurity Concepts and Principles30m

Week2

Week 2

4 hours to complete

Your Cyber Story and Your Public Data Profile

4 hours to complete

3 videos (Total 38 min), 5 readings, 2 quizzes

Week3

Week 3

2 hours to complete

Wifi, IoT, Hacking, Data Breaches and Social Engineering

2 hours to complete

3 videos (Total 29 min), 4 readings, 1 quiz

Week4

Week 4

9 hours to complete

The Ethics of Cyber Security

9 hours to complete

2 videos (Total 21 min), 4 readings, 1 quiz

Reviews

4.2

4 reviews

5 stars
54.54%
4 stars
27.27%
2 stars
18.18%

TOP REVIEWS FROM CYBERSECURITY FOR DATA SCIENCE

by MAOct 3, 2022

The homeworks were interesting and allowed us to learn and apply it in a creative manner

by DBMar 6, 2023

It is a very good and enjoyable course. I have learnt a lot of things related to cyber security.

View all reviews

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.

This specialization 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. Logo image by JJ Ying on Unsplash

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Cybersecurity for Data Science

About this Course

What 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