BiteSize Statistics for Absolute Beginners: Data and Descriptive Statistics is the first course in the BiteSize Stats for Absolute Beginners specialization. It builds the foundational statistical literacy that every later course depends on: how to think like a statistician, how to classify and measure data correctly, and how to summarize a dataset’s center, spread, and shape.
Across five modules, learners progress from the Prepare-Analyze-Conclude workflow and the DIKW framework, through population/sample vocabulary and the four probability sampling methods, to the three measures of center (mean, median, mode), the four measures of spread (range, IQR, variance/SD, CV), and finally frequency tables, histograms, distribution shape, the Empirical Rule, and box plots. Every core lesson pairs a short video walkthrough and reading with a hands-on interactive notebook built around a realistic business scenario, and each module closes with a graded applied lab using a real dataset.
