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Cybersecurity for Data Science

Learn essential cybersecurity concepts and tools for data science, from CIA principles to risk mitigation strategies.

Learn essential cybersecurity concepts and tools for data science, from CIA principles to risk mitigation strategies.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Vital Skills for Data Science Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

3.6

(22 ratings)

3,909 already enrolled

Instructors:

English

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Cybersecurity for Data Science

This course includes

19 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free

What you'll learn

  • Understand and apply CIA principles to cyber scenarios

  • Identify social and technical vulnerabilities in data security

  • Master ethical boundaries of cybersecurity practices

  • Develop professional cybersecurity connections

  • Implement data protection strategies

Skills you'll gain

Cybersecurity
CIA Principles
Risk Analysis
Data Protection
Cryptography
Social Engineering
IoT Security
Ethical Hacking
Network Security
Digital Privacy

This course includes:

2.1 Hours PreRecorded video

4 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 5 modules in this course

This comprehensive course introduces data science professionals to essential cybersecurity concepts and practices. Students learn about the CIA (Confidentiality, Integrity, Availability) principles, cybersecurity tools and techniques, and risk mitigation strategies. The curriculum covers cryptographic tools, authentication methods, access control, and privacy considerations specific to data science. Through practical exercises and real-world examples, learners develop skills in identifying and addressing security vulnerabilities in data-related contexts.

Basic Cybersecurity Concepts and Principles

Module 1 · 2 Hours to complete

Your Cyber Story and Your Public Data Profile

Module 2 · 4 Hours to complete

Wifi, IoT, Hacking, Data Breaches and Social Engineering

Module 3 · 1 Hours to complete

The Ethics of Cyber Security

Module 4 · 9 Hours to complete

Cybersecurity Expert Interview

Module 5 · 2 Hours to complete

Fee Structure

Instructor

Al Pisano
Al Pisano

4.3 rating

8 Reviews

3,898 Students

1 Course

Versatile Expert in Education and Corporate Development

Al possesses extensive and diverse experience in both educational and corporate sectors, demonstrating success as a presenter, thought leader, author, innovator, entrepreneur, and administrator at both K-12 and higher education levels. His work spans collaborations with K-12 school districts, higher education institutions, non-profits, and corporate education arms, focusing on culture transformation and visionary leadership. Al is skilled in curriculum and program analysis, adaptation, creation, and development.

Cybersecurity for Data Science

This course includes

19 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

3.6 course rating

22 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.