INTRODUCTION TO CONTEMPORARY STATISTICS

Catalog description

Statistics is one of the pillars of data science and a core subject of Machine Learning (ML). In this course, you will learn how to collect real-world data and analyze, and draw conclusions from that data. You will learn the concepts, and techniques used by data scientists and statisticians, including observational studies and experiments, exploratory data analysis, and inference including confidence intervals and hypothesis testing, simple regression, and correlation. PREREQ: C OR BETTER IN ( MAT 103 OR MAT 105 OR MAT 108 ) OR PLACEMENT INTO MAT 110 UNREQ: A STUDENT MAY EARN CREDIT FOR ONLY ONE OF MAT 117 OR MAT 317