Data Literacy: Spotting Traps in Surveys and Statistics

Surveys and statistical claims shape daily decisions, media reports, and business strategies, yet misleading figures can easily create false impressions. Developing strong data literacy allows you to look beyond headline numbers and evaluate the underlying evidence with confidence. In this foundational course, you will learn how to analyze surveys critically and identify common statistical traps. You will start by mastering key terminology, basic sampling principles, and survey design concepts. Through clear explanations, you will learn to spot selection bias, misleading question structures, and misrepresented metrics. What you'll learn: Understand core statistical terminology and essential survey methodologies; Identify common sampling biases, non-response issues, and flawed question designs; Spot misleading visual claims, cherry-picked statistics, and false correlations; Evaluate market research, public opinion polls, and customer satisfaction claims objectively; Apply critical frameworks to assess data validity in professional and daily contexts; Examine contemporary data traps, including online panel biases and automated feedback limitations. You will progress from foundational concepts to practical evaluation techniques through written explanations and real-world scenarios. This course requires no prior background in mathematics or statistics and is suitable for complete beginners. Gain the critical skills needed to interpret data accurately and make better decisions.