Cybersecurity for Data Science (Coursera)

Cybersecurity for Data Science (Coursera)

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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.

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.

Course 3 of 4 in the Vital Skills for Data Science Specialization.

Syllabus

WEEK 1
Basic Cybersecurity Concepts and Principles
In this module, you will learn the basics of cybersecurity and the CIA triad.

WEEK 2
Your Cyber Story and Your Public Data Profile
In this module, you will explore your Cyber Story and examine your pubic data profile

WEEK 3
Wifi, IoT, Hacking, Data Breaches and Social Engineering
This module explores the world of hacking, IoT and social engineering.

WEEK 4
The Ethics of Cyber Security
In this session students will leverage social media to connect with cybersecurity experts and explore the ethics around cybersecurity and data.

WEEK 5
Cybersecurity Expert Interview
You will connect with a cybersecurity expert, interview the contact, submit the text, audio or video of the interview and reflect on the experience and knowledge gained.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Cryptography I (Coursera) Coursera
Stanford University

Cryptography I (Coursera)

Cryptography is an indispensable tool for protecting information in computer systems. In this course you will learn the inner workings of cryptographic systems and how to correctly use them in real-world applications. The course begins with a detailed discussion of how two parties who have a shared secret key can communicate securely when a powerful adversary eavesdrops and tampers with traffic.

Nov 16th 2026
5-12 Weeks
Practice Exam for ISC2 Certified in Cybersecurity (CC) (Coursera) Coursera
SkillUp EdTech

Practice Exam for ISC2 Certified in Cybersecurity (CC) (Coursera)

The need for cybersecurity professionals is on the rise. According to an ISC2 report, over 4 million jobs remain open because of the lack of skilled and qualified cybersecurity professionals. ISC2’s Certified in Cybersecurity (CC) certification exam is an entry-level certification that can help you validate your cybersecurity knowledge and build credibility. If you have been preparing for the exam and want to check your readiness, this course is for you.

Nov 16th 2026
2 Weeks
Internet of Things: How did we get here? (Coursera) Coursera
University of California, San Diego

Internet of Things: How did we get here? (Coursera)

It is hard to imagine life without your Smartphone – you have come to rely on it so much – for your work; to stay in touch with family and friends; to capture and share those special moments; to find your way around in a new neighborhood. Did you ever wonder how and when all this happened? Or how and when GPS sensors came to be in your cell phone?

Nov 16th 2026
2 Weeks
Introduction to Machine Learning (Coursera) Coursera
Duke University

Introduction to Machine Learning (Coursera)

This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) as well as demonstrate how these models can solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction.

Nov 16th 2026
5-12 Weeks
Data Science for Business Innovation (Coursera) Coursera
Politecnico di Milano,EIT Digital

Data Science for Business Innovation (Coursera)

The course is a compendium of the must-have expertise in data science for executive and middle-management to foster data-driven innovation. It consists of introductory lectures spanning big data, machine learning, data valorization and communication. Topics cover the essential concepts and intuitions on data needs, data analysis, machine learning methods, respective pros and cons, and practical applicability issues.

Nov 16th 2026
4 Weeks
Programming for Data Science (Coursera) Coursera
University of Leeds

Programming for Data Science (Coursera)

Explore the basics of programming and familiarise yourself with the Python language. After completing this course, you will be able to write Python programs in Jupyter Notebook and describe basic programming. In this course, you will learn everything you need to start your programming journey. You will discover the different data types available in Python and how to use them, learn how to apply conditional and looping control structures, and write your own functions.

Nov 16th 2026
3 Weeks
Cadeia de Suprimentos na Nuvem (Coursera) Coursera
FIA Business School

Cadeia de Suprimentos na Nuvem (Coursera)

Nossas boas-vindas ao Curso Cadeia de Suprimentos na Nuvem. Neste curso, você aprenderá como o supply chain pode ampliar o valor da empresa explorando as diversas ferramentas disponíveis em cloud para potencializar a visibilidade e a responsividade da cadeia, melhorando o nível de serviço prestado aos clientes.

Nov 9th 2026
5-12 Weeks
Process Mining: Data science in Action (Coursera) Coursera
Eindhoven University of Technology

Process Mining: Data science in Action (Coursera)

Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis.

Nov 16th 2026
5-12 Weeks
Developing AI Policy (Coursera) Coursera
Fred Hutchinson Cancer Center

Developing AI Policy (Coursera)

AI tools are already changing how we work, and they will continue to do so for years. Over the next few years, we’re likely going to see AI used in ways we’ve never imagined and are not anticipating. This course will guide you as you lead your organization to adopt AI in a way that’s not unethical, illegal, or wrong. This course empowers you to make informed decisions and confidently create an AI policy that matches your organizational goals.

Nov 16th 2026
1 Week
Cybersecurity Job Search and Interviews: Getting Started (Coursera) Coursera
University System of Georgia

Cybersecurity Job Search and Interviews: Getting Started (Coursera)

Are you planning to have a career in cybersecurity? This course can help you plan your preparation for such a career as well as give some advice on finding positions and landing a position. What you will learn: the process and resources for finding the perfect cybersecurity job; the cybersecurity professional’s role in an organization’s cybersecurity effort; the knowledge preparation for the cybersecurity professional from an education versus training perspective.

Nov 9th 2026
5-12 Weeks