Lecturer IV and Research Investigator
7 Learning Experiences
Understanding Data: Navigating Statistics, Science, and AI
What You'll Learn
- Assess the credibility and limitations of claims involving statistics and scientific research
- Interpret and evaluate statements about data to make informed decisions in your personal and professional life
- Understand the fundamentals of machine learning and navigate conversations about AI with confidence
3-Course Series
30 hours
10 hours per course (approx.)
Shareable Certificate
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About Understanding Data: Navigating Statistics, Science, and AI
Understanding Data: Navigating Statistics, Data, and AI equips you with the knowledge to engage with data from a more nuanced perspective and increase your impact as a decision-maker in an increasingly data-driven world.
Throughout this three-course series, develop essential data literacy skills to navigate claims about data, statistics, science, and artificial intelligence – with no math or programming required. Learn to evaluate statistics used in places like headlines, advertisements, and research to increase your critical thinking skills and deepen your understanding of how scientific research can be misunderstood and misinterpreted. By exploring the recent rise in artificial intelligence (AI), you’ll also learn to engage critically with current narratives regarding data and AI.
At the end of this three-course series, you’ll be able to engage with data from a more critical perspective, integrate data and statistics into papers, reports, or stories, and actively support your perspectives with quality data and information.
Skills You'll Gain
- Machine Learning
- Ethical AI
- Generative AI Agents
- Probability Distribution
- Descriptive Statistics
- Artificial Intelligence
- AI Agents
- AI Innovation
- Responsible AI
- Data Literacy
- Data Analysis
What You'll Earn
- Certificate of Completion
- Certificates of completion acknowledge knowledge acquired upon completion of a non-credit course or program.
Course content developed by U-M faculty and managed by the university. Faculty titles and affiliations are updated periodically.
Beginner Level
No previous knowledge of data, statistics, or AI is necessary.
Series Video
3 Courses in this series
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Free U-M Access CourseHow to Describe Data
Build data literacy by learning how to interpret, describe, and critically evaluate everyday statistics and data presentations.
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Free U-M Access CourseHow Science Turns Data Into Knowledge
Explore how scientific data is interpreted, reported, and communicated, with a focus on critical thinking and research literacy.
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Free U-M Access CourseDecoding AI: A Deep Dive into AI Models and Predictions
Explore how AI models work, challenge media myths, and gain tools to think critically about AI in society.
What Learners Are Saying
I've tried to make the science class that I would have wanted to take when I was first learning how research works. .. Most of all, I hope it helps you see that when we talk about data, we are never just talking about numbers. We are talking about things that matter to…
Elle O'Brien Lecturer III, University of Michigan School of Information
