Introduction to Probability and Statistics for Data Science

Data-driven decision making relies on a solid understanding of probability and statistics. This course helps you build a strong mathematical foundation, showing you how to interpret data, identify patterns, and draw reliable conclusions. You will transition from basic concepts to practical statistical application, preparing you for modern analytical roles. What you'll learn: Understand core probability theories, sample spaces, and probability distributions. Apply descriptive statistics to summarize and analyze real-world datasets. Practice hypothesis testing and calculate confidence intervals to validate assumptions. Learn the fundamentals of regression analysis to model relationships between variables. Explore modern statistical concepts including basic predictive modeling and data estimation techniques. This text-based course begins with essential terminology, probability rules, and foundational mathematics before guiding you through hands-on statistical methods. It is designed for beginners with no prior background in advanced mathematics or statistics. Start reading today to unlock the power of statistical analysis.