University of Colorado Boulder - Cybersecurity for Data Science
- Offered byCoursera
Cybersecurity for Data Science at Coursera Overview
Duration | 19 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Cybersecurity for Data Science at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 3 of 4 in the Vital Skills for Data Science Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Beginner Level Anyone can take this course
- Approx. 19 hours to complete
- English Subtitles: English
Cybersecurity for Data Science at Coursera Course details
- 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.
Cybersecurity for Data Science at Coursera Curriculum
Basic Cybersecurity Concepts and Principles
Introduction
Introduce the CIA Triad and Cybersecurity Basics
LinkedIn and Twitter for Professionals
Join LinkedIn Cybersecurity Course Group and Post
The CIA Triad
Create Your LinkedIn and Twitter Accounts
Networking with LinkedIn and Twitter
Assignment: Join Cybersecurity Course Group on LinkedIn and Submit Posts
Week 1: Basic Cybersecurity Concepts and Principles
Your Cyber Story and Your Public Data Profile
Digital Reputation and Cyberstory, Google Yourself
Passwords and Cybersecuirty
Basic Cryptography and Encryption
Your Online Reputation
Exercise ?What is Your Cyber Story?
Exercise ? Ungoogle Yourself and Set up Google Alerts
Passwords
Cryptography
Week 2: Your Cyber Story and Your Public Data Profile
Wifi, IoT, Hacking, Data Breaches and Social Engineering
Hacking ? White, Grey and Black Hackers
IoT
Social Engineering
Hackers
Internet of Things
Social Engineering
LinkedIn Discussion: Hacking or IOT and Cybersecurity
Week 3: Wifi, IoT, Hacking, Data Breaches and Social Engineering
The Ethics of Cyber Security
Facial Recognition and 'Big Brother'
Getting Yourself Out There on LinkedIn and Twitter
Big Brother and Surveillance
Optional LinkedIn Discussion
Cybersecurity Experts on Twitter
Explore and Network
Week 4: The Ethics of Cyber Security
Cybersecurity Expert Interview
Cybersecurity Interview Questions
Cybersecurity Interview Guidance
Cybersecurity Interview Reflection
40 Questions to Ask a Mentor
Formulate 5 Interview Questions
9 Tips on Conducting Great Interviews
Conduct an Interview
Reflecting Skills
Cybersecurity for Data Science at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
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