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Statistics.comX: Principles of Data Science Ethics

230,00 €

Concern about the harmful effects of machine learning algorithms and AI models (bias and more) has resulted in greater attention to the fundamentals of data ethics.

This data science ethics course for both practitioners and managers provides guidance and practical tools to build better models and avoid these problems. The course offers a framework data scientists can use to develop their projects and an audit process to follow in reviewing them. Case studies with Python code are provided.

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230,00 €

Concern about the harmful effects of machine learning algorithms and AI models (bias and more) has resulted in greater attention to the fundamentals of data ethics.

This data science ethics course for both practitioners and managers provides guidance and practical tools to build better models and avoid these problems. The course offers a framework data scientists can use to develop their projects and an audit process to follow in reviewing them. Case studies with Python code are provided.

Categories ,

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About this course

Concern about the harmful effects of machine learning algorithms and AI models (bias and more) has resulted in greater attention to the fundamentals of data ethics. News stories appear regularly about credit algorithms that discriminate against women, medical algorithms that discriminate against African Americans, hiring algorithms that base decisions on gender, and more. In most cases, those who developed and deployed these algorithms and data processes had no such intentions, and were unaware of the harmful impact of their work.

This data science ethics course for both practitioners and managers provides guidance and practical tools to build better models and avoid these problems. The course offers a framework data scientists can use to develop their projects, and an audit process to follow in reviewing them. Case studies along with Python code are provided.

At a glance

  • Institution: Statistics.comX
  • Subject: Ethics
  • Level: Intermediate
  • Prerequisites:Predictive Analytics: Basic Modeling Techniques
  • Language: English
  • Video Transcript: English
  • Associated programs:
    • Professional Certificate in Data Science Ethics
  • Associated skills:Data Ethics, Machine Learning Algorithms, Artificial Intelligence, News Stories, Python (Programming Language), Auditing, Algorithms, Data Science

What you’ll learn

After completing this course you should be able to:

  • Identify and anticipate the types of unintended harm that can arise from AI models
  • Explain why interpretability is key to avoiding harm
  • Distinguish between intrinsically interpretable models and black box models
  • Evaluate tradeoffs between model performance and interpretability
  • Establish a Responsible Data Science framework for your projects

Course Overview

Wide Choice

Explore expert-led technical, leadership & personal growth courses.

Customized Learning

AI-powered recommendations so you follow what fits your goals.

Certifiable Skils

Earn recognized certificates to showcase your progress.

Practical Impact

Gain immediately usable knowledge you can apply at work or life.

Progress Tracking

Track your growth every course, see how far you’ve come.

Career & Personal Growth

Advance professionally while growing personally.

FAQ

What makes ClearTech different?

We combine wide course variety, AI-driven personalization, and practical content so you learn what matters, efficiently.

Yes, every completed course grants you a certificate to validate your achievements.

They range from beginner to advanced. No matter your level, there’s a fit to help you grow.

Our platform uses AI to analyze your progress and suggest courses tailored to your goals.

ClearTech provides progress tracking tools so you can monitor learning achievements as you complete courses.

Yes, once you enroll, you can access your courses online and start right away.

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