Data Literacy: Spotting Misleading Claims and Evaluating Statistics

In a world driven by metrics and headlines, data-based arguments are often accepted without question. This written course helps you look beyond the surface of charts, rankings, and statistical claims to discover what the numbers actually reveal. You will learn to critically evaluate how data is collected, presented, and potentially manipulated. By developing a strong data literacy foundation, you will gain the skills needed to distinguish solid evidence from flawed reasoning in everyday decision-making. What you will learn: Learn core concepts of data literacy, sampling methods, and fundamental statistical terms. Analyze how rankings, scores, and index numbers are calculated and where hidden biases occur. Identify common pitfalls in data interpretation, including correlation versus causation. Recognize deceptive visualization techniques and selective reporting practices. Evaluate modern data sources, including metrics generated by automated systems and AI summaries. Apply critical questioning frameworks to assess data claims in business and daily life. The course begins with essential definitions and foundational data principles before guiding you through structured reading materials and written practice scenarios. This program is designed for beginners and requires no prior math or statistics background. Begin building your data evaluation skills today and make more informed decisions.