Understand the data behind every decision you make at work. |
Data is behind almost every decision organizations make today, from how teams design products to how governments allocate resources and how clinicians improve patient care. Yet many professionals still feel unsure about how data science and AI actually work, or how to use them responsibly.
Data Science and AI Principles is built to change that. This course provides a nearly code- and math-free introduction that makes foundational topics approachable and relevant by using real-world examples that prompt you to think critically about applying these understandings to your workplace.
Spots are limited for the upcoming February cohort! Submit your enrollment by February 12th at 11:59 PM ET to secure your spot. |
A 30% discount on select courses is available for past participants and learners who work in nonprofits, government, military, or education!* |
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Group enrollment is also available for businesses and organizations. Ā Click here to learn more about group discount options and connect with our team. |
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In this course you'll learn how to: |
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Explain foundational ideas such as prediction, causality, and data privacy in clear terms, and how they underpin AI, machine learning, and large language models (LLMs).
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Identify high-quality versus low-quality data, common sources of bias, and their impact on AI and machine learning models.
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Develop guidelines for ethical data and AI use and for making effective, responsible decisions in your work environment.
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Don't miss the deadline for other courses with enrollments closing soon: |
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Harvard Online
114 Mount Auburn Street Cambridge, MA, 02138, US | |
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