Learning Path

Descriptive Statistics → Basics of Regression Analysis

This learning path equips data analysts with the essential concepts and methods of inferential statistics to make data-driven business decisions. Starting from descriptive statistics, it covers sampling, confidence intervals, hypothesis testing, and key parametric and non-parametric tests, culminating in correlation and regression basics. Each step builds on the previous, ensuring a solid understanding of how to draw conclusions from sample data and quantify uncertainty.