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Cybersecurity for Data Science
  • Level Foundation
  • Duration 19 hours
  • Course by University of Colorado Boulder
  • Offered by

About

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.

Modules

Introduction

    • 1 Videos
    • 3 Readings
    • 1 Discussion
Show info about module content

1 Discussions

  • Introduce Yourself

1 Videos

  • Introduction

3 Readings

  • Earn Academic Credit for your Work!
  • Course Support
  • Assessment Expectations

The CIA Triad and Cybersecurity Basics

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • Introduce the CIA Triad and Cybersecurity Basics

1 Readings

  • The CIA Triad

Apply Your Knowledge

    • 1 Quiz
Show info about module content

1 Quiz

  • Week 1: Basic Cybersecurity Concepts and Principles

Optional Networking Assignment: Cybersecurity Networking with LinkedIn and Twitter

    • 2 Videos
    • 3 Readings
Show info about module content

2 Videos

  • LinkedIn and Twitter for Professionals
  • Join LinkedIn Cybersecurity Course Group and Post

3 Readings

  • Create Your LinkedIn and Twitter Accounts
  • Networking with LinkedIn and Twitter
  • Assignment: Join Cybersecurity Course Group on LinkedIn and Submit Posts

Digital Reputation and Cyberstory

    • 1 Videos
    • 3 Readings
Show info about module content

1 Videos

  • Digital Reputation and Cyberstory, Google Yourself

3 Readings

  • Your Online Reputation
  • Exercise —What is Your Cyber Story?
  • Exercise — Ungoogle Yourself and Set up Google Alerts

Passwords and Cybersecuirty

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • Passwords and Cybersecuirty

1 Readings

  • Passwords

Cryptography

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • Basic Cryptography and Encryption

1 Readings

  • Cryptography

Apply Your Knowledge

    • 1 Quiz
    • 1 PeerReview
Show info about module content

1 Peer Review

  • Passwords or Cryptography Infographic

1 Quiz

  • Week 2: Your Cyber Story and Your Public Data Profile

Hacking – White, Grey and Black Hackers

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • Hacking — White Hat, Grey Hat and Black Hat Hackers

1 Readings

  • Hackers

Iot and Cybersecurity

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • IoT

1 Readings

  • Internet of Things

Social Engineering

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • Social Engineering

1 Readings

  • Social Engineering

Apply Your Knowledge

    • 1 Quiz
Show info about module content

1 Quiz

  • Week 3: Wifi, IoT, Hacking, Data Breaches and Social Engineering

Optional Networking Assignment: LinkedIn Discussion

    • 1 Readings
Show info about module content

1 Readings

  • LinkedIn Discussion: Hacking or IOT and Cybersecurity

Facial Recognition and 'Big Brother'

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • Facial Recognition and 'Big Brother'

1 Readings

  • Big Brother and Surveillance

Apply Your Knowledge

    • 1 Quiz
Show info about module content

1 Quiz

  • Week 4: The Ethics of Cyber Security

Optional Networking Assignment: Getting Yourself Out There with LinkedIn and Twitter

    • 1 Videos
    • 3 Readings
Show info about module content

1 Videos

  • Getting Yourself Out There on LinkedIn and Twitter

3 Readings

  • Optional LinkedIn Discussion
  • Cybersecurity Experts on Twitter
  • Explore and Network

Cybersecurity Interview Questions

    • 1 Videos
    • 2 Readings
Show info about module content

1 Videos

  • Cybersecurity Interview Questions

2 Readings

  • 40 Questions to Ask a Mentor
  • Formulate 5 Interview Questions

Cybersecurity Interview

    • 1 Videos
    • 2 Readings
Show info about module content

1 Videos

  • Cybersecurity Interview Guidance

2 Readings

  • 9 Tips on Conducting Great Interviews
  • Conduct an Interview

Cybersecurity Interview Reflection

    • 1 Videos
    • 1 Readings
    • 1 PeerReview
Show info about module content

1 Peer Review

  • Cybersecurity Expert Interview Flipgrid Reflection

1 Videos

  • Cybersecurity Interview Reflection

1 Readings

  • Reflecting Skills

Auto Summary

"Cybersecurity for Data Science" is a foundational IT & Computer Science course designed to equip data science enthusiasts with the skills to identify and mitigate cybersecurity risks. Taught by expert faculty from CU Boulder, it covers key concepts like confidentiality, integrity, availability, cryptographic tools, and access control techniques. Part of CU Boulder’s MS in Data Science, this 1140-minute course is available via Coursera with Starter and Professional subscription options, catering to individuals with diverse educational and professional backgrounds.

Al Pisano
Instructor

Al Pisano