This course is part of the Data Science Fundamentals on Microsoft Azure ExpertTrack
Microsoft Future Ready: Ethics and Laws in Data and Analytics
Ethics and Law in Data Analytics

- Duration3 weeks
- Weekly study5 hours
- 100% onlineTry this course for free
- Included in an ExpertTrackCourse 4 of 6
- Get full ExpertTrack access$39/month
Microsoft Future Ready: Ethics and Laws in Data and Analytics
This course is part of the Microsoft ExpertTrack Certificate in Data Science and Microsoft Professional Program in Artificial Intelligence.
Corporations, governments, and individuals have powerful tools in Analytics and AI to create real-world outcomes, for good or for ill.
Data professionals today need both the frameworks and the methods in their job to achieve optimal results while being good stewards of their critical role in society today.
In this course, you’ll learn to apply ethical and legal frameworks to initiatives in the data profession. You’ll explore practical approaches to data and analytics problems posed by work in Big Data, Data Science, and AI. You’ll also investigate applied data methods for ethical and legal work in Analytics and AI.
What topics will you cover?
- Identify the concepts of the data revolution
- Describe how ethics and data interact
- Recognize the types of bias inherent in processing data
- Explore the application of best practices to the use of big data
- Define privacy by design
- Interpret the application of the GDPR to businesses
- Identify concepts in data analytics and artificial intelligence
- Examine the justification in using XAI and GAI
What will you achieve?
By the end of the course, you‘ll be able to...
- Foundational abilities in applying ethical and legal frameworks for the data profession
- Engaged in practical approaches to data and analytics problems, including Big Data and Data Science and AI
- Applied data methods for ethical and legal work in Analytics and AI
Who is the course for?
Foundational abilities in applying ethical and legal frameworks for the data profession.
Practical approaches to data and analytics problems, including Big Data and Data Science and AI.
Applied data methods for ethical and legal work in Analytics and AI
Start learning today - free 7-day trial
After your free trial you can: