Basis Statistics
Fundamentals of Data Science using R
We live in a world overflowing with data. From science and business to policy and everyday life, the ability to interpret data through statistics has become a core skill for critical thinking and decision-making. Statistics doesn’t just organize numbers; it uncovers patterns, quantifies uncertainty, and transforms raw information into knowledge we can act on.
This module takes learners on a journey from the basics to the essentials of statistical reasoning. We start with data types and collection methods, then move to how data can be organized and presented through clear tables, visuals, and descriptive summaries. We dive into measures of central tendency and dispersion to understand what data is really telling us, before laying the groundwork of probability and distributions as the language of uncertainty.
From there, learners will explore statistical inference, confidence intervals and hypothesis testing to make evidence-based generalizations from samples to populations. By the end, participants won’t just know statistical methods; they’ll be able to apply them confidently, communicate insights clearly, and make better decisions in real-world contexts.