Data Science Ethics Professional Certificate

Professional Certificate in

Data Science Ethics

Statistics.comX

What you will learn

Identify and anticipate the types of unintended harm that can arise from AI models.
Establish a Responsible Data Science framework for your projects.
Evaluate predictor impact in black box models using interpretability methods.
Assess the performance of models with metrics to measure bias and unfairness.
Conduct an audit of a data science project from an ethical standpoint.

Sometimes data science projects go awry, when the predictions made by statistical and AI / machine learning algorithms turn out to be not just wrong, but biased and unfair in ways that cause harm. This program, for both data science practitioners and managers, provides responsible guidance and practical tools to build better models and avoid these problems.

Expert instruction

2 skill-building courses

Self-paced

Progress at your own speed

2 months

4 - 5 hours per week

$397.94

USD

For the full program experience

Courses in this program

Statistics.comX's Data Science Ethics Professional Certificate
4–5 hours per week, for 4 weeks
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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4–5 hours per week, for 4 weeks
AI’s popularity has resulted in numerous well-publicized cases of bias, injustice, and discrimination. Often these harms occur in machine learning projects that have the best of goals, developed by data scientists with good intentions. This course, the second in the data science ethics program for both practitioners and managers, provides guidance and practical tools to build better models and avoid these problems.
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- Employment of data scientists is projected to grow 36 percent from 2021 to 2031, much faster than the average for all occupations. About 13,500 openings for data scientists are projected each year, on average, over the decade.
- The median annual wage for data scientists was $100,910 in May 2021.
- Data Scientists and other Career roles include Machine Learning Engineer, Data Engineer, AI Specialist, Analytics and AI translators, Data Oriented Product Manager.
- Some companies have established responsible AI groups and processes. A key function is to educate data scientists about the issues involved in ethical AI.