Description
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.
Applied Learning Project
Throughout this Specialization, you’ll engage in hands-on projects to apply your data literacy skills to real-world scenarios, like evaluating the credibility of claims involving statistics. There’s a focus on applying data literacy to real-world problems through hands-on projects and case studies.
What you’ll learn
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Assess the credibility and limitations of claims involving statistics and scientific research
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Understand the fundamentals of machine learning and navigate conversations about AI with confidence
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Interpret and evaluate statements about data to make informed decisions in your personal and professional life
