Statistics is the backbone of modern data science and machine learning. It provides the mathematical tools needed to analyze data, identify patterns, make predictions, and support data-driven decision-making.

This course introduces the essential statistical concepts used in data science, including probability, distributions, hypothesis testing, and statistical inference. Learners will explore how statistics helps data scientists interpret data and build reliable models.

Through practical examples and real-world datasets, students will learn how to apply statistical thinking to analyze data and draw meaningful conclusions.

By the end of this course, learners will understand the statistical foundations required for data analytics, machine learning, artificial intelligence, and business intelligence applications.