Ethics and Law in Data and Analytics

Analytics and AI are powerful tools that have real-word outcomes. Learn how to apply practical, ethical, and legal constructs and scenarios so that you can be an effective analytics professional.
  • Self-Paced Learning

    Learning Style
  • Intermediate

    Difficulty
  • 12 Hours

    Course Duration
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Analytics and AI are powerful tools that have real-word outcomes. Learn how to apply practical, ethical, and legal constructs and scenarios so that you can be an effective analytics professional.

About this course:

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.

The average salary for a Data Science Analysist is $90,044 per year.

Course Objective:

  • 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

Audience:

  • Data Professionals

Prerequisite:

  • None
More Information
Brand Microsoft
Lab Access No
Technology Microsoft
Learning Style Self-Paced Learning
Difficulty Intermediate
Course Duration 12 Hours
Language English
VPA Eligible VPA Eligible
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