Overview

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.

Syllabus

Course 1: How to Describe Data
Course 2: How Science Turns Data Into Knowledge
Course 3: Decoding AI: A Deep Dive into AI Models and Predictions

Courses

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10 hours 4 minutes
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Decoding AI: A Deep Dive into AI Models and Predictions explores the significance of large datasets, demystifies generative artificial intelligence (AI), and challenges common media myths about AI. By defining key terms and exploring how systems “learn” from data, you will gain a baseline understanding of how AI works. Work to understand different critiques of AI narratives, learn to navigate conversations with precision, discern conflicts of interest, and appreciate the multidisciplinary expertise needed to shape AI's impact on society. This course provides you with the strategies and frameworks to engage in better conversation about the role of AI in your work and beyond. This is the third course in Understanding Data: Navigating Statistics, Science, and AI Specialization, in which you’ll gain a core foundation for statistical and data literacy and gain an understanding of the data we encounter in our everyday lives.
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11 hours 2 minutes
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How Science Turns Data Into Knowledge teaches you how to evaluate scientific claims critically, address experimental limitations, and recognize the roles of trust and responsibility within research. During the course, you’ll explore the nuances of significance testing, scientific research methods, and science communication, emphasizing the importance of carefully interpreting statistical results. After learning about the scientific process, you’ll learn how science can make its way into the news cycle—and how critical context can be lost amidst the noise. By the end of the course, you’ll be able to think more critically about the media you consume and how you can view science news and information with a more nuanced perspective. This is the second course in Understanding Data: Navigating Statistics, Science, and AI Specialization, in which you’ll gain a core foundation for statistical and data literacy and gain an understanding of the data we encounter in our everyday lives.
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9 hours 9 minutes
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How to Describe Data examines the use of data in our everyday lives, giving you the ability to assess the usefulness and relevance of the information you encounter. In this course, learn about uncertainty’s role in measurements and how you can develop a critical eye toward evaluating statistical information in places like headlines, advertisements, and research. You’ll learn the fundamentals of discussing, evaluating, and presenting a wide range of data sets, as well as how data helps us make sense of the world. This is a broad overview of statistics and is designed for those with no previous experience in data analysis. With this course, you’ll be able to spot potentially misleading statistics and better interpret claims about data you encounter in the world. Course assessments focus on your understanding of concepts rather than solving math problems. This is the first course in Understanding Data: Navigating Statistics, Science, and AI Specialization, where you’ll gain a core foundation for statistical and data literacy and gain an understanding of the data we encounter in our everyday lives.