LinkedIn Learning
Free Trial Available
English
Certificate Available
3-4 hours worth of material
selfpaced
Overview
Analytics and AI are powerful tools that have real-word outcomes. Learn how to the practical, ethical, and legal frameworks to be an effective analytics professional.
Syllabus
Welcome
- Welcome
- Data, ethics, and law
- Designing the data revolution
- The age of big data
- Ethical foundations: Part 1
- Ethical foundations: Part 2
- Ethical foundations: Part 3
- Law, analytics, and society
- Different types of law
- IRAC analysis
- Subjective to objective
- A Data oath
- IRAC application
- Explore the compassions data set: Part 1
- Explore the compassions data set: Part 2
- Explore the compassions data set: Part 3
- Data, individuals, and society
- Bias in data processing: Part 1
- Bias in data processing: Part 2
- Legal concerns for equality
- Bias and legal challenges
- Consumers and policy
- Employment and policy
- Education and policy
- Policing and policy
- Best practices to remove bias
- Descriptive analytics and identity
- Privacy, privilege, or right
- Privacy law and analytics
- Negligence law and analytics
- Power imbalances
- IRAC application
- Data ethics and law in business
- Handling consumer data
- Handling employee data
- Ethics in hiring with big data
- Digital market manipulation
- The evolution of privacy and technology
- Data privacy and security best practices
- GDPR
- GDPR, big data, and AI
- IRAC application
- The ethics and variables of recidivism
- AI and future opportunities
- From analytics to AI
- AI design principles
- Example autonomous cars
- Values like ours
- Why XAI
- XAI the issues
- XAI complex algorithms
- XAI or GAI
- Algorithms and accountability
- Wrap up
Taught by
Microsoft General Technical Skills
