Data Analytics and Modeling with AI

Catalog description

This course is intended to develop your skills in decision making and communicating under conditions of uncertainty and risk. The topics in the course are organized into seven modules, each with a corresponding set of materials 1) Introduction to Data Analysis, 2) Probability and Discrete Random Variables and Decision Analysis, 3) Continuous Random Variables and Portfolio Analysis, 4) Sampling Theory and Confidence Intervals, 5) Hypothesis Testing, 6) Simple Regression and 7) Multiple Regression.