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
- Included in an ExpertTrackCourse 4 of 6
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
Prove you're job ready
Highlight the new, job-relevant skills you’ve gained and supplement existing qualifications with a hard-earned, industry-specific digital certificate – plus one for every course within your ExpertTrack.
- Learn the latest in your chosen industry or subject.
- Complete each course and pass assessments.
- Receive certificates validated by the educating organisation.
- Create a shareable certificate link for your CV and LinkedIn.
- Impress employers with learning outcomes you can add to your CV.
- Make your career dreams a reality.
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Who is this accredited by?
This course is accredited by Microsoft
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
Who developed the course?
CloudSwyft Global Systems, Inc.
CloudSwyft has partnered with the top global technology companies to deliver cutting edge digital skills learning across the modern workplace.
Learning on FutureLearn
Your learning, your rules
- Courses are split into weeks, activities, and steps, but you can complete them as quickly or slowly as you like
- Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
- Stay motivated by using the Progress page to keep track of your step completion and assessment scores
Join a global classroom
- Experience the power of social learning, and get inspired by an international network of learners
- Share ideas with your peers and course educators on every step of the course
- Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others
Map your progress
- As you work through the course, use notifications and the Progress page to guide your learning
- Whenever you’re ready, mark each step as complete, you’re in control
- Complete 90% of course steps and all of the assessments to earn your certificate
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After your free trial you can:
- Pay $39 per month to keep learning online
- Have complete control over your subscription; you can cancel any time
- Work at your own pace and set your own deadlines at every stage
- Only pay while you’re learning; the subscription will cancel automatically when you finish
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