What you'll learn
Introduction to Econometrics exposes learners to the fundamentals of econometrics and its role in understanding real-world economic data. The course explains how economics, mathematics, and statistics work together to study relationships between variables, test assumptions, and interpret data accurately. Through short video lessons, guided readings, practical examples, and quizzes, learners explore key concepts such as variables, regression, beta, epsilon, R², p-values, multiple regression, correlation, and causation. Examples involving study hours and marks, education and earnings, salary prediction, and misleading data patterns make these concepts easier to understand and apply. Learning Outcomes: > Explain the purpose and applications of econometrics. > Identify dependent and independent variables. > Understand simple and multiple regression models. > Interpret coefficients, R², and p-values. > Distinguish between correlation and causation. > Recognize misleading relationships in data. > Apply econometric thinking to real-world decisions. > Earn a certificate of completion.
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