This is an undergraduate level econometrics course. In this course, we will start with a review of probability and statistics that are the basics of econometrics. After studying a linear regression model with one regressor, together with its statistical inferences, we will extend our models so that we can have more than one regressor. Issues that interfere with desirable properties of our estimators, such as errors that have autocorrelation or heterosckedasticity, will then be studied. The last part of this course will be devoted to non-linear models, regression with binary dependent variables, instrumental variable regression, and time series regression.