Offered By: FiresideAnalyticsInc
Data Privacy Fundamentals
Learn about the fundamentals of Data Privacy.
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Data Science
15.2k+ Enrolled4.6
At a Glance
Learn about the fundamentals of Data Privacy.
About This Course Learn about privacy from 5 prominent cases of
data breaches from 2012 to 2015, which highlight vulnerabilities in typical organizations.
- Get an outline of data privacy laws.
- Walk away with some guiding principles for how to stay out of trouble.
- Knowing how to hack a colleague's password will raise some ethical questions. Justify your decisions in the course exam.
Course Syllabus
- Module 1:
- An overview of privacy laws in Canada
- Case Study:Student loans data breach (Canada) - A breach involving the personal information of about more than half a million clients of Human Resources and Skills Development Canada (HRSDC) and 250 departmental employees
- Module 2:
- An overview of the Personal Information Protection and Electronic Documents Act (PIPEDA)
- Case Study: Target Corp. (USA) - A data breach involving information on 40 million payment cards (i.e., credit, debit, and ATM cards) and personally identifiable information (PII) on 70 million customers
- Module 3
- Dr. Ann Cavoukian's 7 Foundational Principles of 'Privacy by Design'
- Case Study:Think W3 (UK) - A data breach involving 1.2 million credit and debit card details
- Case Study: Doritex Corp. (USA) - A data breach exposed the social security numbers of over 500 job applicants
- Module 4
- Data breaches and passwords
- Case Study: Home Depot (USA) - A data breach estimated to have put payment card information at risk for approximately 56 million unique payment cards
- Class Participation Questionnaire
Recommended skills prior to taking this course
- None
Grading scheme
- The minimum passing mark for the course is 60%, where the review questions are worth 40% and the final exam is worth 60% of the course mark.
- You have 1 attempt to take the exam with multiple attempts per question.
Requirements
None.
Course Staff
Shingai Manjengwa
Shingai Manjengwa (@Tjido) is the Director of Insights and Analytics at Fireside Analytics Inc. An NYU Stern alum, she graduated from the Stern Business Analytics Masters program in 2014 and founded Fireside Analytics the following year. Fireside Analytics is a data analytics consulting company that makes data analytics and data science skills accessible to private sector companies, non-profits and education institutions. Fireside Analytics works with clients to build their data science capabilities and train their staff and stakeholders using customized case studies.
Estimated Effort
3 Hours
Level
Advanced
Skills You Will Learn
Data Analysis, Data Privacy
Language
English
Course Code
DS0301EN