Cognitive Class / Fireside Analytics Inc.

Data Privacy Fundamentals

You have the data, you have the skills, a colleague asks you to hack a password, what do you do? Is your decision ethical? This course is designed to keep you in line with current privacy laws, and guide you on a path to keep you out of trouble.

Start the Free Course

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

    Module 5

    • Password hacking in R - Hands on exercise
    • 10 privacy tips for companies

General Information

  • This course is free.
  • It is self-paced.
  • It can be taken at any time.
  • It can be audited as many times as you wish.

Recommended skills prior to taking this course

  • None

Requirements

  • None

Course Staff

Fireside Analytics Inc.

Shingai Manjengwa (@Tjido) is the CEO of  Fireside Analytics Inc., an ed-tech start-up that develops customized online and in-person courses to teach digital literacy, data science, data visualization, and coding to high school students, policymakers, senior executives, small business owners, and working professionals. Data Science courses by Fireside Analytics have over 300,000 registered learners on platforms like IBMs CognitiveClass.ai and Coursera.

An IBM Influencer and Author, Shingai has a Masters in Business Analytics from NYU Stern. Shingai is also the founder of Fireside Analytics Academy, a registered private high school (BSID: 886528) that teaches high school students to solve problems with data.

What is Data Science? Data Science is the process of ethically acquiring, engineering, analyzing, visualizing and ultimately monetizing data.

Connect with us on FacebookTwitter and LinkedIn.